datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
intel-image-classification
Intel Image Classification
The Intel Image Classification dataset contains images of natural scenes categorized into six classes:
Buildings
Forest
Glacier
Mountain
Sea
Street
📆 Content
The dataset contains ~25,000 images of size 150x150 pixels.
Images are evenly distributed across 6 categories:
{'buildings' -> 0,
'forest' -> 1,
'glacier' -> 2,
'mountain' -> 3,
'sea' -> 4,
'street' -> 5 }
It is divided into three parts:
Training set: ~14… See the full description on the dataset page: https://huggingface.co/datasets/sfarrukhm/intel-image-classification.autotrain-data-image-classification
AutoTrain Dataset for project: image-classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project image-classification.
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": "<79x80 RGBA PIL image>",
"target": 1
},
{
"image": "<547x108 RGBA PIL image>",
"target": 1
}]… See the full description on the dataset page: https://huggingface.co/datasets/fsuarez/autotrain-data-image-classification.birds-525-species-image-classificationOriginal dataset is https://www.kaggle.com/datasets/gpiosenka/100-bird-species
DocILE_10_5_ImageClassification_donut
Dataset Card for "DocILE_10_5_ImageClassification_donut"
More Information needed
GenAI_ImageClassificationLargeImageClassificationStableDiffusion_smallAfrivoice_Kinyarwanda_Image_Domain_classification
Dataset Description
This dataset is a restructured version of Afrivoice Kinyarwanda, reorganized for image domain classification. The original audio-and-image manifest data was regrouped into a standard Hugging Face imagefolder layout (train/validation/test splits, one subfolder per class) so it can be loaded directly with datasets.load_dataset("imagefolder", ...) for training image classifiers.
No new images were collected and no image content was modified beyond format… See the full description on the dataset page: https://huggingface.co/datasets/Kira-Floris/Afrivoice_Kinyarwanda_Image_Domain_classification.Animal_Image_Classification_DatasetDataset Summary:
The Animal Image Classification Dataset is a comprehensive collection of images tailored for the development and evaluation of machine learning models in the field of computer vision. It contains 3,000 JPG images, carefully segmented into three classes representing common pets and wildlife: cats, dogs, and snakes.
Dataset Contents:
cats/: A set of 1,000 JPG images of cats, showcasing a wide array of breeds, environments, and postures.
dogs/: A diverse compilation of 1,000 dog… See the full description on the dataset page: https://huggingface.co/datasets/AlvaroVasquezAI/Animal_Image_Classification_Dataset.recursion-cellular-image-classification-datasetpokemon_card_image_for_authenticity_classification
Pokemon Card Image for Authenticity Classification
This dataset contains front/back images of Pokemon cards for authenticity experiments.
Dataset structure
Images/: all image files (.jpeg)
Images/metadata.jsonl: metadata used by Hugging Face imagefolder
labels.csv: flat label file with the same rows as metadata
Columns
image: image object loaded from file
id: image filename (unique id)
side: card side (0 = front, 1 = back)
labels: authenticity label (1 =… See the full description on the dataset page: https://huggingface.co/datasets/stevelohwc/pokemon_card_image_for_authenticity_classification.japanese-image-classification-evaluation-dataset
recruit-jp/japanese-image-classification-evaluation-dataset
Overview
Developed by: Recruit Co., Ltd.
Dataset type: Image Classification
Language(s): Japanese
LICENSE: CC-BY-4.0
More details are described in our tech blog post.
日本語CLIP学習済みモデルとその評価用データセットの公開
Dataset Details
This dataset is comprised of four image classification tasks related to concepts and things unique to Japan. Specifically, is consists of the following tasks.
jafood101: Image… See the full description on the dataset page: https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset.fast_food_image_classificationMatthiola-incana-Leaf-Image-Classification
Matthiola incana Leaf Image Classification dataset
Matthiola incana Leaf Image Classification(MiLIC) dataset is intended to create a model for classifying images of Matthiola incana leaves into single-flowered leaf or double-flowered leaf.
Matthiola incana
Matthiola incana, a member of the family Brassicaceae, is an ornamental plant cultivated worldwide for its beautiful flowers. This species exhibits two flower forms: single and double flowers. The market for… See the full description on the dataset page: https://huggingface.co/datasets/Kentaro-Machida/Matthiola-incana-Leaf-Image-Classification.Product_Image_Classification
Product Image Classification Dataset
Датасет изображений товаров, собранный с крупных узбекских маркетплейсов (asaxiy.uz, texnomart.uz, olcha.uz) для задачи автоматической классификации e-commerce продукции.
Описание датасета
Данный набор данных содержит фотографии товаров, разбитых по 5 основным категориям электроники. Данные прошли автоматическую очистку от поврежденных файлов и дедупликацию по MD5-хешу.
Категории (Classes):
headphones — Наушники… See the full description on the dataset page: https://huggingface.co/datasets/NurzatS/Product_Image_Classification.Intel-Image-Classificationgarbage-image-classification-detection
Garbage Image dataset
Dataset consists of images, bounding-boxes and segmentations for each elements.
@misc{
garbage-classifier-oehkt_dataset,
title = { Garbage Classifier Dataset },
type = { Open Source Dataset },
author = { Student },
howpublished = { \url{ https://universe.roboflow.com/student-utr07/garbage-classifier-oehkt } },
url = { https://universe.roboflow.com/student-utr07/garbage-classifier-oehkt },
journal = { Roboflow Universe },
publisher = { Roboflow… See the full description on the dataset page: https://huggingface.co/datasets/dmedhi/garbage-image-classification-detection.car-classification-image-datasetautotrain-data-animal-image-classification
AutoTrain Dataset for project: animal-image-classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project animal-image-classification.
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": "<366x274 RGB PIL image>",
"target": 0
},
{
"image": "<367x274 RGB PIL image>",
"target":… See the full description on the dataset page: https://huggingface.co/datasets/BalajiAIdev/autotrain-data-animal-image-classification.cctv-image-classification-testfront_image_classification
Front image classification dataset
This dataset contains Open Food Facts images, each assigned with one of the two following classes:
front (ID 0)
other (ID 1)
Front images are the "default" image of a product, displayed on Open Food Facts product page. A front image is most of the time a photo of the front side of the product packaging. It's useful to be able to detect front images so that we can update the front image with a newer version (when the packaging changes for… See the full description on the dataset page: https://huggingface.co/datasets/openfoodfacts/front_image_classification.japanese-image-classification-evaluation-datasetThis dataset is https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset with jpg files.
7586 out of 7654 images were downloaded.
cocoa_pod_disease_gh_image_classification
Cocoa Pod Disease Gh Image Classification
This dataset provides real, field-based RGB images of cocoa pods in Ghana, captured using handheld devices including Canon 60D and Samsung Galaxy S22 cameras. It features disease symptoms on cocoa pods collected across a 14-month period in agricultural field conditions, supporting the development of object detection models for crop disease monitoring. The dataset contains 2,436 images with 4,688 bounding box annotations across 4… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/cocoa_pod_disease_gh_image_classification.vit-medical-image-classificationstreet-food-image-classification-datasetmetric-screw-image-classificationMulti-Class-Waste-Image-Classification-Dataset
Multi-Class Waste Image Classification Dataset
Overview
This dataset is curated for multi-class waste classification using computer vision and deep learning techniques. It provides a structured, high-quality benchmark for training custom CNN architectures, benchmarking transfer learning models, and building automated waste sorting pipelines.
Dataset Structure
The dataset follows a standard directory format compatible with common deep learning… See the full description on the dataset page: https://huggingface.co/datasets/Kishore2412/Multi-Class-Waste-Image-Classification-Dataset.cocoa_pod_disease_gh_image_classification_2
Cocoa Pod Disease Gh Image Classification 2
This dataset features real-world RGB images of cocoa pods in field conditions from Ghana, captured using handheld devices including Canon 60D and Samsung Galaxy S22 cameras. The images, collected over a 14-month period from January 2023 to March 2024, document cocoa pods exhibiting disease symptoms and healthy specimens within their natural agricultural environment. The dataset contains 2,436 images with 4,688 bounding box annotations… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/cocoa_pod_disease_gh_image_classification_2.autotrain-data-histopathological_image_classification
AutoTrain Dataset for project: histopathological_image_classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project histopathological_image_classification.
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": "<700x460 RGB PIL image>",
"target": 6
},
{
"image": "<700x460 RGB PIL… See the full description on the dataset page: https://huggingface.co/datasets/JoffreyMa/autotrain-data-histopathological_image_classification.image_classificationbirds-525-species-image-classificationOriginal dataset is https://www.kaggle.com/datasets/gpiosenka/100-bird-species