Alternatives to RectLabel

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.

V7 Darwin is a data labeling and training platform designed to automate and accelerate the process of creating high-quality datasets for machine learning. With AI-assisted labeling and tools for annotating images, videos, and more, V7 makes it easy for teams to create accurate and consistent data annotations quickly. The platform supports complex tasks such as segmentation and keypoint labeling, allowing businesses to streamline their data preparation process and improve model performance. V7 Darwin also offers real-time collaboration and customizable workflows, making it suitable for enterprises and research teams alike.

ImgLab is a freely available tool tailored to streamline the process of image annotation for applications in machine learning and artificial intelligence. It features a user-friendly interface that allows individuals to annotate images with various types of metadata, including bounding boxes, points, lines, or polygons, to highlight particular features or objects present within the images. Supporting several annotation formats like COCO, Pascal VOC, and YOLO, ImgLab ensures compatibility with a range of machine learning models and platforms. Additionally, it is equipped to handle extensive image datasets, which makes it ideal for tackling intricate machine learning challenges. This versatility positions ImgLab as a valuable resource for researchers and developers in the AI field.

Image categorization, bounding box detection, polygon annotation, curve tracing, and 3D positioning. Additionally, video tracking, text categorization, and named entity recognition are supported. Custom task plugins allow users to develop their own labeling tools. Files can be exported in PascalVoc XML format, identical to that used by ImageNet, as well as in CoreNLP format. The platform is compatible with Windows, Mac, CentOS, and Ubuntu operating systems. This versatility ensures that users can seamlessly integrate it into their existing workflows.

Facilitate a variety of annotation types for both images and videos through a flexible, open-source web-based tool. This tool is designed to scale and supports user-friendly “click and drag” functionalities, allowing for the addition of multiple attributes with ease. It incorporates features that enable the fitting of boundaries using Bezier curves and the ability to duplicate shared boundaries. Users can annotate the specific areas where a driver is operating and mark lane lines to enhance vision-based vehicle localization and trajectory planning. An intuitive four-click method is employed to accurately encapsulate objects of interest, while advanced algorithms predict annotations across frames by utilizing object tracking and interpolation techniques for bounding boxes. It also offers prediction capabilities for individual object instances, with 2D tracking functionalities expanded into a three-dimensional context, enhancing the overall annotation process. This comprehensive tool aims to streamline the workflow for users involved in image and video annotation tasks.

Introducing the ultimate data annotation tool that offers unparalleled flexibility and ease of installation. Users can create customized user interfaces or opt for ready-made labeling templates tailored to their specific needs. The adaptable layouts and templates seamlessly integrate with your dataset and workflow requirements. It supports various object detection methods in images, including boxes, polygons, circles, and key points, and allows for the segmentation of images into numerous parts. Additionally, machine learning models can be utilized to pre-label data and enhance efficiency throughout the annotation process. Features such as webhooks, a Python SDK, and an API enable users to authenticate, initiate projects, import tasks, and manage model predictions effortlessly. Save valuable time by leveraging predictions to streamline your labeling tasks, thanks to the integration with ML backends. Furthermore, users can connect to cloud object storage solutions like S3 and GCP to label data directly in the cloud. The Data Manager equips you with advanced filtering options to effectively prepare and oversee your dataset. This platform accommodates multiple projects, diverse use cases, and various data types, all in one convenient space. By simply typing in the configuration, you can instantly preview the labeling interface. Live serialization updates at the bottom of the page provide a real-time view of what Label Studio anticipates as input, ensuring a smooth user experience. This tool not only improves annotation accuracy but also fosters collaboration among teams working on similar projects.

Ultralytics provides a comprehensive vision-AI platform centered around its renowned YOLO model suite, empowering teams to effortlessly train, validate, and deploy computer-vision models. The platform features an intuitive drag-and-drop interface for dataset management, the option to choose from pre-existing templates or to customize models, and flexibility in exporting to various formats suitable for cloud, edge, or mobile applications. It supports a range of tasks such as object detection, instance segmentation, image classification, pose estimation, and oriented bounding-box detection, ensuring that Ultralytics’ models maintain high accuracy and efficiency, tailored for both embedded systems and extensive inference needs. Additionally, the offering includes Ultralytics HUB, a user-friendly web tool that allows individuals to upload images and videos, train models online, visualize results (even on mobile devices), collaborate with team members, and deploy models effortlessly through an inference API. This seamless integration of tools makes it easier than ever for teams to leverage cutting-edge AI technology in their projects.

Roora offers top-notch data annotation solutions tailored for machine learning, focusing on the annotation of images, videos, and texts across multiple sectors, including healthcare, self-driving cars, and retail. By employing advanced techniques such as bounding boxes, semantic segmentation, and object detection, Roora assists organizations in optimizing their AI models for superior performance. The platform's proficient team guarantees that the data labeling process is precise, scalable, and secure, which significantly boosts the capacity of AI systems to identify and categorize visual elements in practical scenarios, such as facial recognition, medical imaging, and autonomous navigation. This commitment to quality and innovation positions Roora as a leader in the data annotation industry, driving advancements in AI technology.

Segments.ai provides a robust solution for labeling multi-sensor data, combining 2D and 3D point cloud labeling into a unified interface. It offers powerful features like automated object tracking, smart cuboid propagation, and real-time interpolation, allowing users to label complex data more quickly and accurately. The platform is optimized for robotics, autonomous vehicle, and other sensor-heavy industries, enabling users to annotate data in a more streamlined way. By fusing 3D data with 2D images, Segments.ai enhances labeling efficiency and ensures high-quality data for model training.

Models can be built, trained and deployed in minutes instead of months. Find Anything Fast Start the process by providing a single image of an object. RAIC will search for similar objects within an unlabeled dataset. The results are contextually linked to the original starting image, so you can improve AI by identifying best results using an intuitive human nudge. Identify and Classify Categorize the data based on what you want to detect - it could be a single thing or many things. Once contextually associated with items, RAIC allows you to group and identify them into categories. This will help you feed training. RAIC will then build you a detection model or classification model based on your choice of Quick Train or Deep Train. You can choose between Quick Train for time-critical cases or rapid prototyping, or Deep Train for a more traditional, high accuracy model when time is not a factor.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

DataSeeds.ai specializes in providing extensive, ethically sourced, and high-quality datasets of images and videos designed for AI training, offering both standard collections and tailored custom options. Their extensive libraries feature millions of images that come fully annotated with various data, including EXIF metadata, content labels, bounding boxes, expert aesthetic evaluations, scene context, and pixel-level masks. The datasets are well-suited for object and scene detection tasks, boasting global coverage and a human-peer-ranking system to ensure labeling accuracy. Custom datasets can be quickly developed through a wide-reaching network of contributors spanning over 160 countries, enabling the collection of images that meet specific technical or thematic needs. In addition to the rich image content, the annotations provided encompass detailed titles, comprehensive scene context, camera specifications (such as type, model, lens, exposure, and ISO), environmental attributes, as well as optional geo/contextual tags to enhance the usability of the data. This commitment to quality and detail makes DataSeeds.ai a valuable resource for AI developers seeking reliable training materials.

Develop training datasets for computer vision models using our comprehensive management solution. We are convinced that the quality of data labeling plays a crucial role in crafting successful deep learning models. Our mission is to establish ourselves as the foremost data labeling platform in the industry, enabling businesses to fully leverage the potential of AI technology. Organize your media assets into distinct categories for better management. Highlight specific items of interest using one or multiple bounding boxes to enhance detection accuracy. Utilize bounding boxes with added precision for more detailed annotations. Provide accurate measurements of width, depth, and height for various objects. Classify every pixel in an image for fine-grained analysis. Identify and mark individual points to capture specific details within images. Annotate straight lines to assist in geometric assessments. Measure critical attributes like yaw, pitch, and roll for items of interest. Keep track of timestamps in both video and audio content for synchronization purposes. Additionally, annotate freeform lines in images to capture more complex shapes and designs, enhancing the depth of your data labeling efforts.

Deepen AI provides cutting-edge tools and services for multi-sensor data labeling and calibration, aimed at enhancing the training process for computer vision applications in autonomous vehicles, robotics, and beyond. Their annotation suite addresses numerous critical use cases, which include 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. Powered by artificial intelligence, the platform boasts pre-labeling features that can automatically tag up to 80 commonly used classes, resulting in a productivity boost of seven times. Additionally, it incorporates machine learning-assisted segmentation, enabling users to segment objects effortlessly with minimal clicks, alongside precise object detection and tracking across frames to eliminate redundancy and conserve time. Furthermore, Deepen AI’s calibration suite accommodates all essential sensor types, such as LiDAR, cameras, radar, IMUs, and vehicle sensors. These sophisticated tools facilitate seamless visualization and inspection of the integrity of multi-sensor data, while also allowing for the rapid calculation of intrinsic and extrinsic calibration parameters in mere seconds. By streamlining these processes, Deepen AI empowers developers to focus more on innovation and less on manual data handling.

Enhance your drawing speed with advanced auto-snap features and intelligent tools designed for efficiency. Seamlessly export your work in high-quality PDF and SVG formats without any subscription fees or monthly charges. The auto-snap feature ensures objects align perfectly for precise outcomes, while the ability to natively embed LaTeX equations directly into diagrams adds a layer of sophistication. With smart tools at your disposal, routine tasks become simpler, allowing you to focus on creativity. Utilize powerful Bezier curves and boolean path operations to craft intricate illustrations effortlessly. Vexlio empowers you to generate high-quality PDF diagrams by exporting your artwork with ease. Similar to SVGs, PDFs maintain clarity and smoothness regardless of scale, making it possible to feature compact diagrams in a paper's margin or a large design as a centerpiece for a poster. Furthermore, Vexlio’s adaptable export system intelligently crops your PDF to fit the precise dimensions of your drawing, eliminating any additional effort on your part. You also have the option to export only selected objects, streamlining the process even more. With these features, your productivity and creative potential can thrive like never before.

TwistedBrush offers more than 9000 brushes in over 250 ArtSets, with a strong focus to natural media painting, photo editing, and illustrative style. This is more brushes than any other art software at any price. If this isn't enough, you can also create your own brushes using the powerful brush effects system. This allows you to represent fine watercolors, smooth pen strokes, full algorithmic tree, or recorded brush strokes. There are thousands of brushes 64-bit Imaging Powerful Brush Engine Drawing Tablet Support Color palettes Brush Editing Transparency and Layers Masks Extensive Tool Kit Image Processing Filters Clips Tracing paper Brush control Cloning Supported image formats: Brush modifiers Drawing guides Lua script filters One-click solutions Adobe Photoshop (TM), compatible plug-ins

For tasks such as transcription, data validation, classification, sentiment analysis, and more, UHRS offers comprehensive solutions tailored to your needs. We leverage human intelligence to enhance machine learning models, aiding you in overcoming some of your toughest challenges. Judges can conveniently access UHRS from anywhere at any time with just an internet connection. This streamlined access allows for quick engagement with tasks like video annotation within minutes. With UHRS, managing the classification of thousands of images becomes a straightforward and efficient process. Our platform enables the training of your products and tools through high-quality annotated image data, enhancing capabilities like image detection and boundary recognition. You can efficiently classify images, conduct semantic segmentation, and implement object detection. In addition, we facilitate audio-to-text validation, conversation analysis, and relevance checks. Furthermore, our services extend to sentiment identification for tweets, document classification, and various ad hoc data collection tasks, including information correction, moderation, and conducting surveys. With UHRS, you gain a versatile partner in navigating a wide range of data-related challenges.

Enhance the platform to incorporate annotation capabilities specifically for segmentation tasks. Within the Zastra repository, innovative algorithms will facilitate segmentation processes to bolster active learning for various datasets. Comprehensive end-to-end ML operations will be implemented, complete with version control for datasets and experiments, alongside templated pipelines that enable model deployment across standard cloud environments and edge devices. By integrating advancements in Bayesian deep learning into the active learning framework, we aim to elevate the overall performance. Moreover, we will refine the accuracy of annotations using specialized architectures, such as Bayesian CNNs, ensuring superior results. Our dedicated team has invested extensive time and effort into developing this groundbreaking solution tailored for your needs. Though we are continuously enhancing the platform with new features, we eagerly invite you to experience a trial run! Zastra boasts a range of core functionalities, including active learning for object classification, detection, localization, and segmentation, applicable across various formats like images, videos, audio, text, and point cloud data. This versatility positions Zastra as a comprehensive tool to tackle diverse data challenges effectively.

If you're in search of a complimentary tool to enhance your photos, ImgCleaner is definitely worth trying out. This tool allows you to remove unwanted objects, people, and text from your images while maintaining their original quality. Utilizing advanced AI technology, it can seamlessly clean your pictures without leaving any evidence of alteration. The user experience is remarkably swift and straightforward. Simply drag and drop your image into ImgCleaner, and you'll be greeted with a canvas where you can adjust the brush size and inpainting strength to your preference. With a few movements of your mouse to outline the area you wish to erase, just click the “Erase” button. After a brief moment, you will witness the remarkable transformation as the selected object disappears. Finally, click the “Download” button to save your edited image directly to your computer. ImgCleaner performs exceptionally well, and you can check out before-and-after examples provided on the site. Best of all, it is entirely free and requires no account registration, supporting both JPG and PNG formats. Don’t hesitate—upload your image and experience the benefits of ImgCleaner today!

Your AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling

The Cristallight iBarcoder serves as a sophisticated barcode generator for Mac, enabling users to create countless unique or sequential barcodes and print them as vibrant labels tailored to any design preference, size, or shape, or alternatively, export them as graphic files in widely-used vector and raster formats. This software simplifies the process of designing and printing barcode labels, stickers, and tags on Mac computers with just a few straightforward steps. With the capability to generate over 40 types of 1-D and 2-D barcode symbologies, including Datamatrix and QR Codes, the iBarcoder caters to a variety of needs. Users can enhance their labels by incorporating diverse design elements such as text boxes, image placeholders, rectangles, ovals, and lines. By typing in required text and inserting chosen images, logos, or illustrations, you can craft professional-grade barcode labels suitable for commercial applications. Additionally, the robust Sequential Numbers feature empowers users to determine the order in which barcode or text items are printed or exported, ensuring customization and efficiency. With its user-friendly interface and versatile features, the iBarcoder stands out as an essential tool for anyone needing reliable barcode solutions.

Visio Reader offers a comprehensive array of viewing options for accessing, complex rendering, and accurately displaying Visio diagrams on macOS. You can reveal hidden layers to inspect all necessary details, and activate Shape Data to visualize user-defined attributes of objects. Drawings with consistent themes are rendered precisely as they appear in Visio®. You can preview files with customized page dimensions and background pages, while object sizes are shown in their original measurement units. The application supports text that includes frames, tabulations, and tables. Users can preview drawings and stencils across various file formats, including VSD, VSDX, VDX, VSDM, VDW, VSSX, VSSM, VSX, and VSS. It accommodates Visio files that contain metafile images like EMF and WMF, as well as embedded OLE objects. The visibility of layers within Visio files can be toggled, allowing you to select which sections and shapes of a drawing to focus on, thus honing in on specific databases. You can easily display or conceal layers with a single tap, and when you print or convert Visio files to PDF, any objects from disabled layers will not be included, ensuring a clean output tailored to your needs. This functionality provides users with the flexibility to manage their workflow effectively while maintaining the integrity of their designs.

We apply the highest quality standards to label your data, ensuring that even the most intricate AI projects are well-supported through our exclusive labeling platform. This allows you to focus on developing the products that resonate with your customers. Our comprehensive solution for image annotation features rapid labeling tools, synthetic data generation, efficient data management, automation capabilities, and on-demand annotation services, all designed to expedite the completion of computer vision initiatives. When precision in every pixel is crucial, you require reliable, AI-driven image annotation tools that cater to your unique use cases, including various instances, attributes, and much more. Our skilled team of data labelers is adept at handling any data-related challenge that may arise. As your requirements for data labeling expand, you can trust us to scale the necessary workforce to achieve your objectives, ensuring that unlike crowdsourcing platforms, the quality of your data remains uncompromised. With our commitment to excellence, you can confidently advance your AI projects and deliver exceptional results.

This package is designed for independent reuse across any Python project and is maintained by the Zope Toolkit initiative. It serves as an implementation of "object interfaces" within the Python ecosystem. Interfaces act as a way to designate objects as adhering to a specific API or contract, making this package a practical example of applying the Design By Contract methodology in Python. Essentially, interfaces are objects that detail (document) the expected external behavior of the objects that implement them. An interface articulates behavior through a combination of informal documentation within a docstring, attribute definitions, and invariants, which are the necessary conditions that must be satisfied by the objects implementing the interface. Attribute definitions specify particular attributes, outlining their names while offering documentation and constraints regarding the allowed values for those attributes. These definitions can take various forms, allowing for flexibility in how they are expressed. Furthermore, the ability to define interfaces enhances the clarity and reliability of code by ensuring that objects conform to specified behaviors.

Experience a true full-screen viewer that offers robust photo zoom functionality along with a customizable image magnifier. It features an array of powerful image editing tools that allow for resizing, resampling, rotating, flipping, cropping, sharpening, blurring, and adjusting various lighting, color, curves, and levels parameters. Users can select from eleven distinct resampling algorithms when resizing their images. Additionally, it provides a range of image color effects, enabling adjustments to grayscale, sepia, and negative filters, as well as red, green, and blue balance modifications. Special image effects enhance creativity with options like annotation, drop shadows, framing, bump mapping, sketching, oil painting, and lens effects. The application also allows for the drawing of texts, lines, highlights, rectangles, ovals, and callout shapes directly onto images. Advanced tools such as the clone stamp and healing brush ensure seamless editing, while the superior red-eye removal feature guarantees a natural finish. Users benefit from a multi-level undo and redo functionality, making it easy to revert changes. The software supports one-touch display options for best fit and actual size images, along with comprehensive image management that includes tagging capabilities and convenient drag-and-drop folder operations. A histogram display coupled with a color counter aids in meticulous color analysis, and users can compare multiple images side-by-side—up to four at a time—to efficiently filter out less desirable shots. Furthermore, it supports image EXIF metadata, offering insights into the captured details. All these features come together to create a thoroughly engaging photo editing experience.

Enhance your annotation process with CVAT, the premier data engine for machine learning that is relied upon by teams of all sizes and for datasets of any magnitude. Featuring a lightning-fast and user-friendly interface crafted in collaboration with actual teams tackling real-world challenges, CVAT is the go-to choice for ambitious AI innovators across diverse sectors, including healthcare, retail, and autonomous driving. Each day, leading AI teams integrate CVAT into their workflows, ensuring their projects run smoothly regardless of the nature of the input data or the outcomes they aim to achieve. CVAT excels with a variety of formats such as images, videos, and 3D models, offering a wide array of annotation tools including bounding boxes, polygons, points, skeletons, cuboids, and trajectories. Boost your productivity with advanced interactive algorithms like intelligent scissors and histogram equalization, designed to streamline the annotation experience. Additionally, CVAT provides valuable metrics such as annotator working hours and objects annotated per hour, enabling teams to optimize their efforts and achieve better results. With its comprehensive features and flexibility, CVAT stands out as an essential asset for any AI-driven project.

DrawPad Graphic Design and Drawing includes pencil and brush tools, vector and raster images, image layers for non destructive editing, and effects like shadows and bevels. You can easily draw and create graphic images. You can create banner ads, invitations and paintings. Editing options include crop, rotate and resize as well as flip. DrawPad is great for creating images, drawings and sketches. DrawPad supports jpg, gif and pdf formats.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one click. If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

eCognition Developer serves as a robust platform for conducting object-based image analysis, particularly in the field of earth sciences. This software enables users to create rule sets or applications for eCognition Architect, facilitating the automatic interpretation of remote sensing data. It is versatile enough to handle a range of remote sensing applications, including vegetation mapping, feature extraction, change detection, and object recognition. By adopting an object-based methodology, it supports the analysis of various data types, encompassing medium to high-resolution satellite imagery, high to very high-resolution aerial photographs, lidar, radar, and even hyperspectral data. With a rich suite of algorithms specifically designed for diverse image analysis challenges, eCognition Developer allows users to select from a broad array of segmentation techniques, including multiresolution segmentation, quadtree, or chessboard methods. This flexibility empowers researchers and analysts to tailor their approach to meet specific project needs effectively.

LabelMe aims to offer an online platform for annotating images, facilitating the creation of image databases for research in computer vision. By utilizing the annotation tool, users can actively contribute to the growing database. Images can be systematically organized into collections, with the flexibility to create nested collections akin to folders. When a user downloads their database, the organization of collections will reflect this folder structure. Users can also upload images to their collections and annotate them using the LabelMe tool. Furthermore, unlisted collections allow for viewing by anyone with access to the specific URL, although they won't be featured among public folders. Ultimately, LabelMe's objective is to ensure that both images and annotations are made accessible to the research community without any limitations, fostering collaboration and innovation. This commitment to open access highlights the importance of shared resources in advancing computer vision research.

PhotoFairy is an infinite AI canvas for photo editing and graphic design. It offers a user-friendly, full-featured online photo editing and graphic design experience. It is packed with many standard features, together with cutting-edge AI functionalities. All these features and functionalities are streamlined into a user-friendly natural workflow that delivers optimal user experience. List of photo editing features: • Object cutout • Object removal • Selective editing • Seamless blending • Beautify • Cartoonize (photo to cartoon) • Photo to sketch drawing • Photo to art • Morphing (younger, older, make a person look like a celebrity) • Custom reimagination • Inpaint • Outpaint • Super-resolution • Colorize • 50+ filters • Make collage • Copy-paste workflow List of graphic design features: • Supports image, shape, SVG graphics, text, freeform drawing • Generative AI • Composition • Transformation • Crop/Clip • Masking • AI Reimagination • Photo editing

In contrast to bitmap drawing programs that concentrate on modifying individual pixels, vector design employs the use of paths and objects to create images. These vector paths, made up of points, lines, and curves, can be filled and painted in various ways. By combining multiple paths, one can design intricate and detailed objects, which can then be organized into larger designs. Importantly, vector images maintain their clarity and sharpness when scaled up, unlike bitmap images that suffer from quality loss upon enlargement. Upon your initial launch of Graphic, the Documents Browser will greet you with sample documents; simply tap on any document to view it. As you select different objects, the fill and stroke color wells will reflect the colors currently applied to those objects. Adjusting the fill or stroke colors while an object is selected allows you to instantly modify its appearance. In addition to colors, gradients, and patterns, you can also fill objects with images, offering further creative flexibility; remarkably, even text objects can be enhanced with image fills, expanding the possibilities for unique designs. This versatility makes vector graphics an appealing choice for designers looking to create high-quality visuals.

To quickly begin using our illustration generator, leveraging pre-existing models is the most efficient approach. However, if you wish to showcase a specific style or object that isn't included in these ready-made models, you have the option to customize your own by uploading between 5 to 15 illustrations. There are no restrictions on the fine-tuning process, making it applicable for illustrations, icons, or any other assets you might require. For more detailed information on fine-tuning, be sure to check our resources. The generated illustrations can be exported in both PNG and SVG formats. Fine-tuning enables you to adapt the stable-diffusion AI model to focus on a specific object or style, resulting in a new model that produces images tailored to those characteristics. It's essential to note that the quality of the fine-tuning will depend on the data you submit. Ideally, providing around 5 to 15 images is recommended, and these images should feature unique subjects without any distracting backgrounds or additional objects. Furthermore, to ensure compatibility for SVG export, the images should exclude gradients and shadows, although PNG formats can still accommodate those elements without issue. This process opens up endless possibilities for creating personalized and high-quality illustrations.

PDFspy serves as the premier utility for obtaining detailed information about your PDF files. It has the capability to extract a thorough array of attributes from a PDF document and convert them into an XML-based format. It supports PDF 1.7/ISO 32000 standards, including versions from Acrobat 9 through DC. The latest update introduces the Element feature, which displays CMYK separations utilized by both text and vector elements. Additionally, a new feature has been added to indicate the total number of shading objects present in a PDF file. If the -o option is not employed, a restored output will be sent to stdout, and it is advisable to use the -quiet option for writing to stdout. The calculation of page labels has been corrected, and there is now an enhanced algorithm for extracting text. Furthermore, it computes color simulation values for ICCBased, separation, and DeviceN color spaces, while also improving support for Unicode, ISO Latin, and the AdobePDF character sets. The utility now offers insights into font usage, including details on name, type, embedding and subset status, as well as Unicode utilization. It features an asset management system that allows users to extract page counts, metadata, and font and image details. Moreover, PDFspy includes document management capabilities to identify text or image-only documents and to extract comments, making it an invaluable tool for anyone working with PDF files. This comprehensive functionality makes PDFspy essential for effective PDF document analysis and management.

SOLVESPACE is an open-source parametric 3D CAD software released under the GPLv3 license, allowing users to design 3D components and create drawings through various operations such as extruding, revolving, or using Boolean methods like union, difference, and intersection. It also enables the modeling of 2D parts by allowing users to draw a single section and export it in formats like DXF, PDF, and SVG, while the 3D assembly feature aids in checking component fit. For those interested in 3D printing, parts can be exported in STL or other mesh formats compatible with the majority of 3D printers. Additionally, it supports the preparation of CAM data, enabling the export of 2D vector art tailored for waterjet machines or laser cutters, or generating STEP and STL files for integration with third-party CAM software for machining processes. The tool is particularly useful for mechanism design, utilizing a constraint solver to simulate both planar and spatial linkages, accommodating various joint types such as pin, ball, or slide joints. Instead of relying on traditional trigonometry and spreadsheets, users can work with live-dimensioned drawings to handle plane and solid geometry, and they can sketch sections utilizing a variety of shapes including lines, rectangles, datum lines, points, circles, arcs, and cubic Bezier segments, along with C2 interpolating splines and more intricate designs. This comprehensive approach encourages creativity and efficiency in the design process, making SOLVESPACE a valuable asset for engineers and designers alike.

OCI Data Labeling is a powerful tool designed for developers and data scientists to create precisely labeled datasets essential for training AI and machine learning models. This service accommodates various formats, including documents (such as PDF and TIFF), images (like JPEG and PNG), and text, enabling users to upload unprocessed data, apply various annotations—such as classification labels, object-detection bounding boxes, or key-value pairs—and then export the annotated results in line-delimited JSON format, which facilitates smooth integration into model-training processes. It also provides customizable templates tailored for different annotation types, intuitive user interfaces, and public APIs for efficient dataset creation and management. Additionally, the service ensures seamless interoperability with other data and AI services, allowing for the direct feeding of annotated data into custom vision or language models, as well as Oracle's AI offerings. Users can leverage OCI Data Labeling to generate datasets, create records, annotate them, and subsequently utilize the exported snapshots for effective model development, ensuring a streamlined workflow from data labeling to AI model training. Consequently, the service enhances the overall productivity of teams focusing on AI initiatives.

EyeRecognize offers a robust suite of APIs for image and video recognition that are easy to integrate into your applications, even if you lack machine learning experience. Our services enable you to recognize objects, individuals, text, scenes, and activities in visual media, while also identifying faces and classifying NSFW content. With our Face Detection and Analysis capabilities, you can locate all faces in images and videos and gather detailed attributes like gender, age, eye characteristics, and emotional expressions. Additionally, our Text Detection feature allows for the extraction of text from various sources, including license plates, street signs, advertisements, and brand logos. We also specialize in detecting NSFW and other potentially inappropriate material in both images and videos. With over four decades of collective experience in developing AI-driven applications, the EyeRecognize team was a pioneer in utilizing machine learning for automating content moderation on social media platforms, setting a standard in the industry. This dedication to innovation ensures that our technology remains at the forefront of image and video analysis.

SentiSight SDK is an intricate application tailored for developers focused on building applications that utilize computer vision for object recognition tasks. This toolkit facilitates both manual and fully automated learning of objects, enabling users to search for recognized objects in images captured by various devices such as cameras, webcams, still images, or live video streams, all in a straightforward yet adaptable manner. SentiSight is offered as a software development kit specifically for creating object recognition systems that are compatible with Microsoft Windows environments. To utilize the SDK, users must meet certain system prerequisites: they need either an x86 (32-bit) or x86-64 (64-bit) processor, SSE2 support (with SSSE3 support being advisable), a minimum of 256 MB of available RAM, a webcam, the Microsoft .NET framework version 2.0 or later (for .NET component integration), Microsoft DirectX 9.0 or a later version (for webcam functionality), and Microsoft Visual Studio 2005 SP1 or a more recent version (to develop applications using C/C++, C#, or Visual Basic .NET). Additionally, it's important for users to note the limitations of the unregistered version, which is available for a trial period of 30 days. By adhering to these requirements, developers can effectively leverage the capabilities of SentiSight to enhance their applications with robust object recognition features.

Experience unparalleled accuracy and reliability with medium and large format aerial imagery. Our precision-engineered high-resolution aerial cameras and solutions streamline the processes of mapping and surveying, making them easier than ever. Conducting photogrammetry mapping missions is seamless, enabling the capture of detailed high-resolution images for both 2D and 3D mapping applications. With these solutions, you can achieve extensive surface coverage at exceptional resolution, ensuring precise inspection of both the targeted objects and their surroundings. Detect damage as small as a millimeter efficiently, speeding up repairs, enhancing performance, and minimizing environmental impact through Phase One's specialized drone solutions and cameras designed for aerial use. Tailored specifically for geospatial and industrial imaging, Phase One's aerial cameras are the result of collaboration with top industry experts. Our medium and large format cameras deliver the finest image quality available globally, characterized by high resolution, expansive dynamic range, accurate color reproduction, and precise geometric fidelity, making them the ultimate choice for professionals in the field. These advanced imaging solutions not only meet but exceed the rigorous demands of contemporary aerial photography and surveying.

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

PikoPixel is a free and open-source application designed for Mac that allows users to create and modify pixel-art graphics. It features user-friendly controls, offers unlimited undo options, enables the use of multiple layers, provides a customizable canvas background, includes hotkey-accessible popup panels, allows for the export of upscaled images, and supports color blending in linear (gamma-correct) space. Additionally, its intuitive interface makes it accessible for both beginners and experienced artists alike.

Fotoxx is a versatile and free open-source application designed for Linux, specifically aimed at image editing and managing collections of photographs. It strives to cater to the requirements of dedicated photographers while ensuring a user-friendly and efficient experience. Users can easily explore extensive image libraries through a thumbnail viewer and select any image for editing or viewing. The program boasts a comprehensive suite of editing and retouching tools. It allows for the import of RAW files and the capability to edit images with extensive color depth. Users can save edited files in various formats, including JPEG, PNG (8 or 16 bits per color), and TIFF (8 or 16 bits). Within an image, users can select specific objects or areas using methods like freehand drawing, edge following, or tone matching, and then apply various editing functions such as resizing, blending, and warping without the need for layers. The editing process provides rapid feedback, allowing for a seamless experience with the entire image. Additionally, users can modify image metadata, including tags, geotags, dates, ratings, and captions. The program also features a powerful search function, enabling users to find images based on any combination of metadata, file names, or partial names, and offers the ability to click on a marker on a scalable world map to view all photographs taken at that specific location, enhancing the user's interaction with their collection. Overall, Fotoxx is a comprehensive tool that combines robust functionality with accessibility for photographers.

CADMATIC Draw is a cost-effective and user-friendly software solution for both 2D and 3D CAD documentation, catering to a wide range of CAD needs. This software encompasses all essential features required for creating and modifying CAD drawings, while its capability to handle both 2D and 3D designs ensures versatility. Its compatibility with various standard file formats facilitates the seamless integration of existing CAD archives, making collaboration among different stakeholders in the design process much more straightforward. The ease of implementation is further enhanced by familiar functionalities and widely-used file formats. With its attractive pricing model, CADMATIC Draw offers features such as find & replace, X-reference management, queue printing, and batch saving, all of which contribute to efficient workflows at a minimal cost. Users can take advantage of its specialized toolkit for precise 2D drafting, alongside the option to create and edit basic 3D drawings. Additionally, it supports a variety of raster image formats, including JPEG, TIFF, GIF, BMP, and PNG, as well as OLE objects, making it a comprehensive solution for all your CAD documentation needs. By choosing CADMATIC Draw, you’ll not only enhance your productivity but also streamline your design processes with its powerful capabilities.