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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
Tagi5, developed by EnFuse Solutions Ltd., is an advanced platform for data annotation that integrates the labeling of images, documents, and videos into a cohesive and intelligent workspace. By utilizing AI-assisted annotation alongside features like quality review workflows, OCR, masking, and adaptable export options, it empowers organizations to produce high-quality training data more efficiently and on a larger scale. Tailored for AI teams, Tagi5 effectively merges platform capabilities, human resources, and operational processes to optimize the entire workflow of data sourcing, annotation, quality assurance, and delivery within one comprehensive solution. This innovative approach not only enhances productivity but also ensures that the data meets the rigorous standards required for effective AI training.
API Access
Has API
No
API Access
Has API
No
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Integrations
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Integrations
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Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
LabelMe
Website
labelme.csail.mit.edu/Release3.0/
Vendor Details
Company Name
EnFuse Solutions
Founded
2026
Country
United States
Website
tagi5.ai/