cleanlab / label-errors
🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
Why this job: works in the areas we cover, but does not say which job it does
What it does
This repo provides the tools to clean and correct the test sets for ten of the most common ML benchmark test sets: ImageNet, MNIST, CIFAR-10, CIFAR-100, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 190
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- quickdraw-pyx-v1
- Released 5 years ago
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 4 merged
- 0 waiting
- Releases
- 3
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: topics and project record
Topics
- benchmarking
- datasets
- label-errors
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits87
- Forks11
- Watching5
- Stars in 28 days0
- CreatedMar 15, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026