label-errors topic

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cleanlab

🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet

cleanlab

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

encord-team

AQuA: A Benchmarking Tool for Label Quality Assessment

autonlab