datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
image-classification-test-sampleDocILE_10_5_ImageClassification_donut
Dataset Card for "DocILE_10_5_ImageClassification_donut"
More Information needed
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.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.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.car-classification-image-datasetSmart-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.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.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.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.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.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.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.Infusion-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
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
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.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.Greenhouse-Image-Classification-Dataset
Greenhouse Image Classification Dataset
The current agricultural industry faces rapidly growing demands and the challenge of limited resources, especially in the area of greenhouse management. Existing datasets are often focused on single crops, lacking comprehensive classification for different types of greenhouses. This dataset aims to provide a rich image classification resource covering various types such as multi-span greenhouses, arch greenhouses, solar greenhouses, and… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Greenhouse-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.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/shangzx/Maternity-Wear-Image-Classification-Dataset.image-classification-yenthienvietThis dataset contains all THIENVIET products images split in training,
validation and testingzero-shot-image-classification-checkpoint-downloadsBlood-Sample-Microscopic-Image-Classification-Dataset
Blood Sample Microscopic Image Classification Dataset
Current scientific research in medical testing relies on manual analysis by experts, which is time-consuming and prone to human error. Existing automated analysis systems lack precision when processing different types of blood samples. This dataset aims to establish an efficient deep learning model to enhance the classification and detection of different types of blood cells under the microscope, meeting the needs of rapid… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Blood-Sample-Microscopic-Image-Classification-Dataset.image-classification-sft-swiftElectric-Wheelchair-Model-Classification-Image-Dataset
Electric Wheelchair Model Classification Image Dataset
In the current medical industry, the use of electric wheelchairs is increasingly popular, especially in elderly care and rehabilitation. However, existing methods for classifying electric wheelchairs often rely on manual labeling, which is inefficient and prone to errors. Current solutions often cannot provide efficient, accurate classification support, leading to resource waste and poor patient experience. This dataset aims to… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Electric-Wheelchair-Model-Classification-Image-Dataset.image_classification_celebSunscreen-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.Electric-Wheelchair-Status-Classification-Image-Dataset
Electric Wheelchair Status Classification Image Dataset
With the advent of an aging society, the use of electric wheelchairs is becoming increasingly common. However, in practical application, users face challenges in status monitoring and are unable to understand the wheelchair's usage status in real-time. Existing solutions often rely on manual inspections, which are inefficient and prone to errors. This dataset aims to automatically identify the status of electric wheelchairs… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Electric-Wheelchair-Status-Classification-Image-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.