Dataset Quality Python Packages

cv-quality

A Python toolkit for cleaner datasets in computer vision.

dataleaks

Detect, explain, and prevent data leakage across machine learning datasets and workflows.

chemdatacheck

Quality checks for molecular datasets: integrity, duplicates, split leakage, ML readiness, and chemical space.

robot-report-card

Is it your data or your model? Dataset scoring + honest policy evaluation for LeRobot / SO-101

opencv-calibration-audit

Validate OpenCV checkerboard camera-calibration datasets for blur, coverage, pose diversity, duplicates, and reprojection error.

dsqus

The Dataset Quality Scoring Engine (DQS) evaluates the quality of any dataset using automated, model-agnostic metrics. The system processes user-uploaded datasets, computes embeddings, analyzes statistical and semantic properties, and outputs a standardized quality score

kalos

KALOS: Evaluate the quality of computer vision datasets

medlint

Lightweight, evidence-first split-integrity audits for medical imaging datasets

modelgate-mgs

Reference implementation of MGS (Model Gate Standard) — check a computer vision dataset's quality before you train on it. pip install modelgate-mgs