
Playment
Supervisely
CloudFactory
Universal Data Tool
CrowdFlower
Dataloop AI
V7
Build computer vision products for the real world

Which is more popular?
Based on our record, Labelbox seems to be more popular. It has been mentioned 10 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | labelbox.com | diffgram.com |
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In their own words, as submitted to SaaSHub.


A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Diffgram is open source annotation and training data software. Flexible deploy and many integrations - run Diffgram anywhere in the way you want. Scale every aspect - from volume of data, to number of supervisors, to ML speed up approaches. Fully featured - 'batteries included'.
What each product offers, as listed by its team.


Possible disadvantages
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.
Review App : Labelbox
More videos
Easily Import & Export from {AWS, GCP} without API integration
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Labelbox and Diffgram. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


However, Labelbox only accepts .mp4 files into their platform, and only their most basic annotation modes have the full scope of video annotation options. When annotating videos with segmentation masks, annotators...
Service goes down often. Very slow team. Slow support.
Overall really really happy with the tool and the team. Excited that it's now open source our team is already building an integration
Amazing import options and data sync. Really happy with speed and responsiveness of team.
Recommendations tracked on public social media and blogs since March 2021.


Cursor's security agents primarily operate in the first dimension, catching vulnerabilities in code. That's valuable and necessary work. But as you'll see in the walkthrough below, the other two dimensions matter just as much, especially... - Source: dev.to / 8 months ago
Use tools like Weights & Biases, Labelbox, or Maxim’s data engine to version your datasets, track changes, and continuously add new edge cases and user feedback. - Source: dev.to / over 1 year ago
Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI... - Source: Hacker News / about 4 years ago
Tracking Diffgram since Mar 2021.
When comparing Labelbox and Diffgram, you can also consider the following products.

Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
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Seamless project management and collaboration for your team.
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Supervisely helps people with and without machine learning expertise to create state-of-the-art...
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Human-powered Data Processing for AI and Automation
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Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
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Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
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