datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
africa-synth-tuberculosis-chest-ctscan-african-ehr-all
Chest CT Scans + Synthetic African EHR (Lung Cancer) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: imagefolder - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-tuberculosis-chest-ctscan-african-ehr-all.africa-synth-aid-flows-brain-tumor-mri-colorized-ehr-all
Brain Tumor (MRI) Detection Colourized with EHR | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: not declared - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-aid-flows-brain-tumor-mri-colorized-ehr-all.PureForest
PureForest: A Large-Scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific Forests
PureForest dataset is derived from 449 different forests located in 40 French departments, mainly in the southern regions.
This dataset includes 135,569 patches, each measuring 50 m x 50 m, covering a cumulative exploitable area of 339 km².
Each patch represents a monospecific forest, annotated with a single tree species label.
The proposed classification… See the full description on the dataset page: https://huggingface.co/datasets/allenfy/PureForest.noaa-pacific-benthic-cover-t3-all
Dataset Card for NOAA Pacific Benthic Image Classification Dataset T3 (All Annotations, Unsplit)
Dataset Details
Dataset Description
This dataset contains benthic reef image crops for Tier-3 coral reef classification, built from CoralNet-derived annotations associated with NOAA Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Sciences Division (ESD) monitoring programs.
Images are 224×224 crops associated with one label per crop. This all-annotations… See the full description on the dataset page: https://huggingface.co/datasets/NMFS-OSI/noaa-pacific-benthic-cover-t3-all.anime-demon-slayer-all-character-images
Demon Slayer Anime Full Character Images Dataset
This dataset contains images of all characters from the anime "Demon Slayer" sorted into different folders.
Original forum post:
https://diffused.to/Thread-Image-Anime-Demon-Slayer-Full-Character-Images-Dataset
Dataset collection date
Dec 2025
Total Characters:
19
Total Images:
554
Dataset structure:
├── 📂 256x256/
│ ├── 📂 001/
│ ├── 00001.jpg
│ ├── 00002.jpg
│ ├──… See the full description on the dataset page: https://huggingface.co/datasets/wallstoneai/anime-demon-slayer-all-character-images.ALL-IDB-Patches
ALL-IDB Patches
MATLAB source code for creating image patches and labels used in the paper “ALL-IDB Patches: Whole slide imaging for Acute Lymphoblastic Leukemia detection using Deep Learning”, presented at ICASSP Workshops 2023.
The repository converts annotated ALL-IDB1 whole-slide microscope images into fixed-size overlapping patches, preserving the position of white blood cell centroids and generating patch-level labels for probable lymphoblasts… See the full description on the dataset page: https://huggingface.co/datasets/AngeloUNIMI/ALL-IDB-Patches.noaa-pacific-benthic-cover-t1-all
Dataset Card for NOAA Pacific Benthic Image Classification Dataset T1 (All Annotations, Unsplit)
Dataset Details
Dataset Description
This dataset contains benthic reef image crops for Tier-1 coral reef classification, built from CoralNet-derived annotations associated with NOAA Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Sciences Division (ESD) monitoring programs.
Images are 224×224 crops associated with one label per crop. This all-annotations… See the full description on the dataset page: https://huggingface.co/datasets/NMFS-OSI/noaa-pacific-benthic-cover-t1-all.aiconf-butterfly-detection-allColumns:
taxon
photo_id
photo_url
hard
Dataset dedicated to further butterfly segmentation in the wild. The dataset contains photos of butterflies, bees, beetles, flowers, and shrubs, collected from iNaturalist.
The hard column indicates whether the photo is considered a hard example for butterfly detection according to a few CV techniques.
Generated at: 2026-03-15 16:40:21 UTC
Rows: 1800
mnist
Dataset Card for MNIST
Dataset Summary
The MNIST dataset consists of 70,000 28x28 black-and-white images of handwritten digits extracted from two NIST databases. There are 60,000 images in the training dataset and 10,000 images in the validation dataset, one class per digit so a total of 10 classes, with 7,000 images (6,000 train images and 1,000 test images) per class.
Half of the image were drawn by Census Bureau employees and the other half by high school students… See the full description on the dataset page: https://huggingface.co/datasets/alliamn/mnist.noaa-pacific-benthic-cover-t1-all
Dataset Card for NOAA Pacific Benthic Image Classification Dataset T1 (All Annotations, Unsplit)
Dataset Details
Dataset Description
This dataset contains benthic reef image crops for Tier-1 coral reef classification, built from CoralNet-derived annotations associated with NOAA Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Sciences Division (ESD) monitoring programs.
Images are 224×224 crops associated with one label per crop. This all-annotations… See the full description on the dataset page: https://huggingface.co/datasets/akridge/noaa-pacific-benthic-cover-t1-all.