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.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.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.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.Military_Aircraft_Detection_Classification_Image_Dataset
Military Aircraft Detection & Classification Dataset
88 Classes with Advanced Background Suppression
Overview
This dataset is a professionally curated resource for training high-performance object detection and image classification models such as YOLOv11.It contains 88 distinct military aircraft classes and is explicitly designed for real-world deployment, where false positives from civilian aircraft, birds, and small drones are common.
To address this, the… See the full description on the dataset page: https://huggingface.co/datasets/Ahnuf/Military_Aircraft_Detection_Classification_Image_Dataset.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.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.fast_food_image_classificationpokemon_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.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.garbage-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.Smart-Projector-Image-Classification-Dataset
Smart Projector Image Classification Dataset
With the rapid development of smart devices, a variety of portable projectors have emerged in the market. In practical applications, accurately recognizing and classifying the appearance images of these projectors has become a technical challenge. Current image recognition technology often yields poor classification results due to insufficient datasets or inaccurate annotations when dealing with different brands and models of projectors.… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Smart-Projector-Image-Classification-Dataset.Beauty-Aid-Tools-Image-Classification-Dataset
Beauty Aid Tools Image Classification Dataset
With the rapid development of the retail e-commerce industry, the market demand for beauty aid tools is continuously increasing. However, current image classification technologies face many challenges, such as diverse product forms and complex usage scenarios, leading to low accuracy and efficiency in product recognition. Existing solutions often rely on manual labeling, which involves a large amount of work and is difficult to maintain.… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Beauty-Aid-Tools-Image-Classification-Dataset.animal_image_classificationInfusion-Bottle-Liquid-Type-Classification-Image-Dataset
Infusion Bottle Liquid Type Classification Image Dataset
The current medical industry faces challenges in liquid infusion management, such as inaccurate classification and low processing efficiency. Traditional manual classification methods often rely on experience, which can lead to errors. Existing solutions lack sufficient training data, resulting in inadequate accuracy of intelligent classification models. This dataset aims to provide a rich collection of liquid type image data… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Infusion-Bottle-Liquid-Type-Classification-Image-Dataset.image-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.
front_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.image_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
Maternity-Wear-Image-Classification-Dataset
Maternity Wear Image Classification Dataset
With the rapid development of the e-commerce industry, the demand for maternity wear is gradually increasing. However, current image classification technology still faces challenges in accuracy and data scarcity when identifying different styles of maternity wear. Most existing solutions rely on manual labeling, which is inefficient and prone to errors. This dataset aims to improve the accuracy of automated classification by providing… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Maternity-Wear-Image-Classification-Dataset.Tom_and_Jerry_Image_Classification
Tom and Jerry Image Classification
Dataset Summary
The "Tom and Jerry Image Classification" dataset [1] has 5,478 images. These are classified as:
images with only "Tom": tom
images with only "Jerry": jerry
images with both "Tom" and "Jerry": tom_jerry_1
images without either character: tom_jerry_0
Supported Tasks and Leaderboards
Token Classification (Note: If this is image classification, consider changing this to image-classification in the YAML metadata… See the full description on the dataset page: https://huggingface.co/datasets/svav18/Tom_and_Jerry_Image_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/Jogitha/Animal_Image_Classification_Dataset.Sunscreen-Products-Image-Classification-Dataset
Sunscreen Products Image Classification Dataset
Currently, the retail e-commerce industry faces challenges such as low efficiency in product classification and difficulties in consumer search, especially with sunscreen products, where customers find it hard to quickly locate the required items. Existing image classification solutions lack accuracy and response speed. This dataset aims to improve the accuracy and efficiency of product recognition through high-quality images of… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Sunscreen-Products-Image-Classification-Dataset.Smart-Air-Conditioner-Image-Classification-Dataset
Smart Air Conditioner Image Classification Dataset
The current smart device industry faces challenges such as increased complexity in user interaction and insufficient accuracy in device recognition. Existing solutions often rely on traditional image recognition technology, resulting in low accuracy and poor adaptability. The construction of the Smart Air Conditioner Image Classification Dataset aims to address this issue by providing high-quality image data to help models better… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Smart-Air-Conditioner-Image-Classification-Dataset.Eyebrow-Makeup-Product-Image-Classification-Dataset
Eyebrow Makeup Product Image Classification Dataset
The current retail e-commerce industry faces the challenge of a wide variety of products and diverse customer needs, especially in the recognition and classification of eyebrow makeup products. Traditional manual annotation methods are inefficient and prone to errors. Existing solutions often fail to meet the requirements for high precision and efficiency, thus there is an urgent need for a high-quality image classification dataset… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Eyebrow-Makeup-Product-Image-Classification-Dataset.Bottled-Goods-Image-Classification-Dataset
Bottled Goods Image Classification Dataset
The retail e-commerce industry currently faces challenges such as low efficiency and poor accuracy in product classification, affecting inventory management and user experience. Existing image classification solutions often rely on limited sample sizes and simple feature extraction methods, resulting in insufficient model generalization capability. This dataset aims to address the problem of insufficient samples in image classification by… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Bottled-Goods-Image-Classification-Dataset.Parent-Child-Outfit-Image-Classification-Dataset
Parent-Child Outfit Image Classification Dataset
With the rapid development of retail e-commerce, the parent-child outfit market is also gradually expanding, and consumer demand for parent-child outfit products is increasing. However, existing product classification systems often fail to accurately identify and classify parent-child outfits, leading to poor user experience and affecting sales performance. Current solutions lack in labeling accuracy and data integrity, making it… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Parent-Child-Outfit-Image-Classification-Dataset.Sunscreen-Products-Image-Classification-Dataset
Sunscreen Products Image Classification Dataset
Currently, the retail e-commerce industry faces challenges such as low efficiency in product classification and difficulties in consumer search, especially with sunscreen products, where customers find it hard to quickly locate the required items. Existing image classification solutions lack accuracy and response speed. This dataset aims to improve the accuracy and efficiency of product recognition through high-quality images of… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Sunscreen-Products-Image-Classification-Dataset.Smart-Speaker-Image-Classification-Dataset
Smart Speaker Image Classification Dataset
The current smart speaker market is highly competitive with diverse brands and forms, leading to difficulties for consumers in identification when making purchases. Existing image datasets mostly focus on general products, lacking classification datasets specifically for smart speakers, resulting in obvious deficiencies in brand identification and appearance classification. This dataset aims to help develop more efficient smart speaker… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Smart-Speaker-Image-Classification-Dataset.