Data Bites / Index

Public data.
Useful context.

A lightweight index of useful public datasets: what they contain, what they are good for, and what to check before using them in a project.

3curated datasets
with caveats

A–Z / public resources
DATA—01 KolektorSDD2 poster image from Dataset Ninja

Manufacturing / Surface defect segmentation

KolektorSDD2

A surface-quality inspection dataset for studying defect segmentation under sparse and imbalanced manufacturing defect conditions.

Use for
surface defect segmentation, manufacturing inspection, imbalanced defect detection experiments
Scale
Dataset Ninja lists 3,336 images and 15,764 annotated defect objects
Watch
Dataset Ninja lists CC BY-SA 4.0; check the original citation and dataset terms before redistribution.
DATA—02 MVTec AD teaser image from the dataset website

Industrial inspection / Unsupervised anomaly detection

MVTec AD

A real-world industrial anomaly detection dataset with defect-free training images, anomalous test images, and pixel-level annotations.

Use for
unsupervised anomaly detection, anomaly localization, industrial visual inspection baselines
Scale
Over 5,000 high-resolution images across 15 object and texture categories
Watch
Commercial use is not allowed under the standard dataset license; contact MVTec if the use case may be commercial.
DATA—03 MedMNIST overview thumbnail from the dataset website

Biomedical imaging / Classification benchmark

MedMNIST

A standardized collection of 2D and 3D biomedical image classification datasets with MNIST-like size options for fast medical imaging experiments.

Use for
biomedical image classification, lightweight benchmarking, AutoML tests, 2D/3D model sanity checks
Scale
About 708K 2D images and 10K 3D images across 18 datasets
Watch
Most subsets are CC BY 4.0, but DermaMNIST is CC BY-NC 4.0; the dataset is not intended for clinical use.