
Codédex
Scrimba
GoIT LMS
Treehouse
Refocus
CodeCrafters
Divize
A better way to support developers

Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Playment
Labeling AI
Dataloop AI
Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Which is more popular?
Based on our record, Supervisely seems to be more popular. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | dataprotocol.com | supervisely.com |
| Pricing | — | |
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What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Sven Mawson - Evolution of the Google Data Protocol
🛠️Basic annotation overview - Supervisely
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Data Protocol and Supervisely. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Data Protocol since Oct 2023.
Another annotation tool that integrates prediction and training within the application is supervisely supervisely.com., unfortunately it's pretty expensive unless you are satisfied with the community version. I saw that they have an... Source: over 3 years ago
Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for... - Source: dev.to / almost 4 years ago
If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: about 4 years ago
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Empowering emerging markets with high-quality tech education
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Enterprise crowdsourcing for micro-tasks
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