Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
Awesome Screenshot is a web platform designed for both designers and screenshot aficionados, primarily focused on gathering and delivering targeted feedback on your visuals and designs. The Awesome Screenshot extension serves as a comprehensive tool for capturing and sharing either specific sections or entire images from your browser, allowing users to incorporate text, annotations, lines, arrows, and shapes directly onto the images they capture. It simplifies collaboration by enabling commenters to leave point-specific remarks directly on the annotated images. Users can upload their captured images through four different methods: via the Chrome extension, drag and drop, selecting an image from their device, or pasting an image from the clipboard. To provide feedback on an image using Awesome Screenshot, users first select their preferred color from the “point color” option located on the top control bar of the screen, with the chosen color being displayed in the “point color” bar. Once the color is selected, users can click on the image at their desired location to position their message effectively, enhancing the clarity of their feedback. This user-friendly approach fosters a more interactive experience, making it easier for teams to communicate their thoughts visually.
Description
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.
API Access
Has API
No
API Access
Has API
No
Integrations
AccessOwl
Yes
Asana
Yes
Facebook
Yes
GitHub
Yes
Gmail
Yes
Google Chrome
Yes
Google Drive
Yes
Jira
Yes
Slack
Yes
Teamstack
Yes
Integrations
AccessOwl
No
Asana
No
Facebook
No
GitHub
No
Gmail
No
Google Chrome
No
Google Drive
No
Jira
No
Slack
No
Teamstack
No
Pricing Details
$4 per user per month
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Live Rep (24/7)
No
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Awesome Screenshot
Website
www.awesomescreenshot.com
Vendor Details
Company Name
LabelMe
Website
labelme.csail.mit.edu/Release3.0/
Product Features
Screen Recording
Annotations / Drawing
No
Audio Capture
No
Backup
No
Collaboration Tools
No
File Sharing
No
Multi-Screen Recording
No
Screen Capture
No
Speech-to-Text
No
Video Editing
No
YouTube Uploading
No