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.ImageClassificationStableDiffusion_smallrecursion-cellular-image-classification-datasetDocILE_10_5_ImageClassification_donut
Dataset Card for "DocILE_10_5_ImageClassification_donut"
More Information needed
birds-525-species-image-classificationOriginal dataset is https://www.kaggle.com/datasets/gpiosenka/100-bird-species
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.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.fast_food_image_classificationautotrain-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.Matthiola-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.pokemon_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.Intel-Image-Classificationedgeimpulse-test-image-classification
Edgeimpulse Test Image Classification
This dataset is an integration-test fixture for Edge Impulse's "Import from Hugging Face" flow.
Structure
Splits: train, validation, test
Main fields: image, label
Extra metadata columns (from metadata.csv):
source_split
source_file
source_stem
source_path
Important note
Label source mode: source-metadata.
Afrivoice_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.GenAI_ImageClassificationLargegarbage-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.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": "<500x333 RGB PIL image>",
"target": 0
},
{
"image": "<320x240 RGB PIL image>",
"target": 4
}]… See the full description on the dataset page: https://huggingface.co/datasets/Cuplex/autotrain-data-image-classification.autotrain-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.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.vit-medical-image-classificationcar-classification-image-datasetIntel-Image-Classificationimage-classification-yenthienvietThis dataset contains all THIENVIET products images split in training,
validation and testingimage-classification-100-classesThis dataset was used to train image classification models.
There are 100 classes
Each class has 10 images.
Classes are labeled from 0 to 99
Images belonging to a class are found inside that class' directory.
street-food-image-classification-datasetmetric-screw-image-classificationanimal_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.image_classificationimage_classification
Visualization of Image Classification Task Cases Samples
Check dataset samples visualization by viewing Dataset Viewer.
The sampling procedure is guided by the Elo distribution introduced in our method.
Original dataset is validation set of ImageNet.
samples/origin: 4998/50000
License
This repository is licensed under the Apache License 2.0