datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
XMR_Demo_Industrial_Foreign_Object_Detection_Lentils
Demo for Hyperspectral Foreign-Object Detection in Lentils
Video spectroscopy beyond the visible spectrum, applied to foreign-object detection on a sliding lentil conveyor. Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430–910 nm, 1080 × 1000 pixels at 4 fps.
Foreign-object detection in food sorting is a general industrial-inspection problem — the rejected target could be a stone, a stem, a piece of packaging, a metal shard, or an insect. In this… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_Lentils.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.xenium-senescence-demo
Xenium Senescence Benchmark (Demo Preview)
Note: This is a demo preview with 234 sample images. The full dataset (62K labeled cells across 2 tissue samples and 3 magnification scales) will be released upon paper publication.
Overview
A benchmark dataset for predicting cellular senescence from spatial transcriptomics (Xenium) cell images. Cell images are DAPI fluorescence microscopy captures at multiple magnification scales, labeled with senescence scores derived from… See the full description on the dataset page: https://huggingface.co/datasets/Xiang-zx-zx/xenium-senescence-demo.cv_rocket_demo
📦 My Image Dataset
Описание
My Image Dataset — это тестовый датасет изображений для демонстрации публикации на Hugging Face Hub.В датасете содержатся небольшие изображения трёх классов:
🐱 Кошка (cat)
🐶 Собака (dog)
🐦 Птица (bird)
Каждое изображение сопровождается меткой (label).
Структура данных
Поле
Тип данных
Описание
id
int32
Идентификатор примера
image
Image
Ссылка на изображение
label
string
Метка класса изображения (cat, dog, bird)… See the full description on the dataset page: https://huggingface.co/datasets/voronik1801/cv_rocket_demo.mnist-lenet5-demo
mnist-lenet5-demo
Training set for a small LeNet-5 handwritten-digit classifier used in an
interactive browser demo. Derived from the standard MNIST training split
(60,000 28x28 grayscale images, digits 0-9), repackaged as a single parquet
shard for convenience.
Fields
image: 28x28 grayscale PNG
label: digit, 0-9
Usage
from datasets import load_dataset
ds = load_dataset("JustinCignal/mnist-lenet5-demo")
License
Original MNIST… See the full description on the dataset page: https://huggingface.co/datasets/JustinCignal/mnist-lenet5-demo.autotrain-data-map_no_map_twitter_demo
AutoTrain Dataset for project: map_no_map_twitter_demo
Dataset Description
This dataset has been automatically processed by AutoTrain for project map_no_map_twitter_demo.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<260x365 RGB PIL image>",
"target": 1,
"feat_created_at": "2023-03-08T13:56:12.283125Z"… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/autotrain-data-map_no_map_twitter_demo.footwear-demo
Footwear Demo Dataset
This dataset contains footwear images for image classification tasks.
Dataset Description
A collection of footwear images for demonstrating image classification and data quality techniques.
Usage
# Download the dataset
wget https://huggingface.co/datasets/Cleanlab/footwear-demo/resolve/main/footwear-demo.zip
unzip footwear-demo.zip
License
MIT License
autotrain-data-hannah-demo
AutoTrain Dataset for project: hannah-demo
Dataset Description
This dataset has been automatically processed by AutoTrain for project hannah-demo.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<11744x7026 RGBA PIL image>",
"target": 0
},
{
"image": "<11744x7026 RGBA PIL image>",
"target": 0
}
]
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/slushily/autotrain-data-hannah-demo.autotrain-data-hannah-training-demo
AutoTrain Dataset for project: hannah-training-demo
Dataset Description
This dataset has been automatically processed by AutoTrain for project hannah-training-demo.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<842x1392 RGBA PIL image>",
"target": 0
},
{
"image": "<1004x1516 RGBA PIL image>",
"target": 0
}
]… See the full description on the dataset page: https://huggingface.co/datasets/slushily/autotrain-data-hannah-training-demo.simple_cn_food_demo
AutoTrain Dataset for project: demo-resnet50-test
Dataset Description
This dataset has been automatically processed by AutoTrain for project demo-resnet50-test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<600x600 RGB PIL image>",
"target": 0
},
{
"image": "<600x799 RGB PIL image>",
"target": 1
}]… See the full description on the dataset page: https://huggingface.co/datasets/SRGui/simple_cn_food_demo.