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About
The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. Organization of images into collections: You can organize the images into collections. You can also create collections inside collections just as you would do with folders. When you download your database, the collections will be organized into folders. Uploading and image annotation: You can upload images into your collections and annotate your images using the online LabelMe annotation tool. Unlisted collections are ones that anyone can view if they have access to the URL, but will not be displayed in the set of public folders. As the goal of LabelMe is to provide a tool for research, the images and annotations are expected to become available to the research comunity without restrictions.
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About
We offer the highest quality SLA (>95%), even on the most complex workflows. Our team assists with anything from implementing a robust quality rubric to raising edge cases. As an ethical AI company, we have provided economic opportunities for over 52,000 people from underserved and marginalized communities. ML Assisted annotation created up to 3-4x efficiency improvement for a single class annotation. We quickly adapt to ramp-ups, focus shifts, and edge cases. ISO certified delivery centers, biometric authentication, and user authentication with 2FA ensure a secure work environment. Seamlessly re-prioritize tasks, provide quality feedback, and monitor models in production. We support data of all types. Get more with less. We combine machine learning and humans in the loop to filter data and select images relevant to your use case. Receive sample results based on your initial guidelines. We work with you to identify edge cases and recommend annotation best practices.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Web-based image annotation tool that allows researchers to label images and share the annotations with the world
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Audience
Enterprises seeking a tool to automate data annotation and improve their machine learning model validation processes
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationLabelMe
labelme.csail.mit.edu/Release3.0/
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Company InformationSama
United States
www.sama.com
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Categories |
Categories |
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Integrations
Canva
Google
Microsoft 365
NVIDIA DRIVE
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