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Average Ratings 0 Ratings
Description
Develop your own models, access a variety of pre-trained computer vision frameworks and application templates, and discover how to build AI applications or tackle business challenges using computer vision in just a few hours. Begin by creating a dataset for object detection by uploading images relevant to your training needs, with the capability to include as many as 5,000 images in each dataset. Once you have uploaded the images, they will automatically enter the training process, and you will receive a notification upon the completion of the model training. After this, you can easily download your model for detection purposes. Furthermore, you have the option to integrate your model with our existing application templates, facilitating swift coding solutions. Additionally, our mobile application, compatible with both Android and iOS platforms, harnesses the capabilities of computer vision to assist individuals who are completely blind in navigating daily challenges. This app can alert users to dangerous objects or signs, identify everyday items, recognize text and currency, and interpret basic situations through advanced deep learning techniques, significantly enhancing the quality of life for its users. The integration of such technology not only fosters independence but also empowers those with visual impairments to engage more fully with the world around them.
Description
LLaVA, or Large Language-and-Vision Assistant, represents a groundbreaking multimodal model that combines a vision encoder with the Vicuna language model, enabling enhanced understanding of both visual and textual information. By employing end-to-end training, LLaVA showcases remarkable conversational abilities, mirroring the multimodal features found in models such as GPT-4. Significantly, LLaVA-1.5 has reached cutting-edge performance on 11 different benchmarks, leveraging publicly accessible data and achieving completion of its training in about one day on a single 8-A100 node, outperforming approaches that depend on massive datasets. The model's development included the construction of a multimodal instruction-following dataset, which was produced using a language-only variant of GPT-4. This dataset consists of 158,000 distinct language-image instruction-following examples, featuring dialogues, intricate descriptions, and advanced reasoning challenges. Such a comprehensive dataset has played a crucial role in equipping LLaVA to handle a diverse range of tasks related to vision and language with great efficiency. In essence, LLaVA not only enhances the interaction between visual and textual modalities but also sets a new benchmark in the field of multimodal AI.
API Access
Has API
No
API Access
Has API
No
Integrations
ExecuTorch
No
GPT-4
No
LLaMA-Factory
No
Pricing Details
$6.67 per month
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Eyewey
Founded
2017
Country
India
Website
eyewey.com
Vendor Details
Company Name
LLaVA
Website
llava-vl.github.io
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No