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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.
Description
SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK, offline accessibility, and integrated annotation services.
We have created a unified annotation environment by bringing together professional annotators and our annotation tool. This allows us to provide integrated software and services that will lead to better quality data and more efficient data processing.
API Access
Has API
API Access
Has API
Integrations
Cloudchipr
IBM watsonx.data
People For AI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
LabelMe
Website
labelme.csail.mit.edu/Release3.0/
Vendor Details
Company Name
SuperAnnotate
Founded
2018
Country
United States
Website
www.superannotate.com
Product Features
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management