datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fashion_mnist
Dataset Card for FashionMNIST
Dataset Summary
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing… See the full description on the dataset page: https://huggingface.co/datasets/zalando-datasets/fashion_mnist.nesteo-prototype
NestEO: Modular and Hierarchical EO Dataset Framework
NestEO is a hierarchical, resolution-aligned, UTM-based nested grid dataset framework supporting general-purpose, multi-scale multimodal Earth Observation workflows. Built from diverse EO sources and enriched with metadata for landcover, climate zones, and population, it enables scalable, representative and progressive sampling for AI4EO.
Grid Levels: 120000m, 12000m, 2400m, 1200m, 600m, 300m, 150mGrid Metadata: ESA WorldCover… See the full description on the dataset page: https://huggingface.co/datasets/nesteo-datasets/nesteo-prototype.dermalens-datasets
DermaLens Skin Cancer Dataset
This dataset repo documents the data pipeline used to train the DermaLens V3 skin cancer classification model.
Source Dataset
HAM10000 (Human Against Machine with 10000 training images) — accessed via marmal88/skin_cancer on HuggingFace.
from datasets import load_dataset
ds = load_dataset("marmal88/skin_cancer")
Dataset Statistics
Split
Images
Malignant
Benign
Positive Rate
Train
10,683
~2,093
~8,590
19.6%… See the full description on the dataset page: https://huggingface.co/datasets/dheraingoud/dermalens-datasets.Synset-Background-Effect-Datasets
Synset Background Effect Datasets
For investigating the effect of background on feature importance and classification performance, we systematically generated six synthetic datasets for the
task of traffic sign recognition, which differ only in their degree of camera variation and background correlation. Each of these datasets contains 82 classes
of traffic signs with 1,100 images per class, resulting in 90,200 images per dataset, summing up to a total of 541,200 images.… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/Synset-Background-Effect-Datasets.microscopy-datasets-index
Microscopy Datasets Index
I kept losing track of which microscopy datasets exist and what format they're in. So I made an index. 300+ open datasets, searchable by domain, task, microscopy type, and license.
What's in here
A single reference file (JSONL and Parquet) cataloging 309 publicly available microscopy datasets. Each entry includes:
id — short slug
name — human-readable dataset name
source — who published it (Broad Institute, Kaggle, ISBI, etc.)
url — direct link… See the full description on the dataset page: https://huggingface.co/datasets/Laborator/microscopy-datasets-index.