KALOS: Evaluate the quality of computer vision datasets
-
Updated
Mar 31, 2026 - Python
KALOS: Evaluate the quality of computer vision datasets
Official repository for paper "Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet"
(WIP): 'Aporia' in Greek means 'inconsistent'. A Python library that detects and fixes dataset issues using both rule-based methods and ML models. It evaluates dataset quality across multiple metrics, including missing values, duplicates, outliers, class imbalance, and label consistency. It also suggests fixes based on the metric scores.
Lightweight toolkit for multimodal data curation and quality triage
Agentic data intelligence tool using LangChain & Pandas for automated dataset cleaning, governance, and quality analysis.
Add a description, image, and links to the dataset-quality topic page so that developers can more easily learn about it.
To associate your repository with the dataset-quality topic, visit your repo's landing page and select "manage topics."