I'm excited to share our newest release of cleanlab which helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models.
With this release, it now supports:
- Regression (NEW)
- Object detection (NEW)
- Image segmentation (NEW)
- Outlier detection
- Binary, multi-class, and multi-label classification
- Token classification
- Classification with data labeled by multiple annotators
- Active learning with multiple annotators
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[ 0.22 ms ] story [ 20.2 ms ] threadI'm excited to share our newest release of cleanlab which helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models.
With this release, it now supports: - Regression (NEW) - Object detection (NEW) - Image segmentation (NEW) - Outlier detection - Binary, multi-class, and multi-label classification - Token classification - Classification with data labeled by multiple annotators - Active learning with multiple annotators
Let’s make AI more data-centric :)