datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Military-Aircraft-Recognition-datasetThis is a remote sensing image Military Aircraft Recognition dataset that include 3842 images, 20 types, and 22341 instances annotated with horizontal bounding boxes and oriented bounding boxes.
facial-expression-recognition-dataset
Emotion recognition Dataset
Dataset comprises 199,955 images featuring 28,565 individuals displaying a variety of facial expressions. It is designed for research in emotion recognition and facial expression analysis across diverse races, genders, and ages.
By utilizing this dataset, researchers and developers can enhance their understanding of facial recognition technology and improve the accuracy of emotion classification systems. - Get the data
This dataset includes images… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/facial-expression-recognition-dataset.Human_Action_Recognition
Dataset Summary
A dataset from kaggle. origin: https://dphi.tech/challenges/data-sprint-76-human-activity-recognition/233/data
Introduction
The dataset features 15 different classes of Human Activities.
The dataset contains about 12k+ labelled images including the validation images.
Each image has only one human activity category and are saved in separate folders of the labelled classes
PROBLEM STATEMENT
Human Action Recognition (HAR) aims to understand… See the full description on the dataset page: https://huggingface.co/datasets/Bingsu/Human_Action_Recognition.sudoku-image-recognition
Dataset Card for Sudoku Image Recognition
Images of Sudoku puzzles for puzzle recognition. This dataset was used to bootstrap the Sudoku OCR engine.
Dataset Details
Dataset Description
This dataset consists of 1400 labelled images of Sudoku puzzles. It is intended for training and evaluating a system that can automatically determine the state of each cell in the puzzle: whether it is solved or unsolved, and which digits it contains. The images are split into… See the full description on the dataset page: https://huggingface.co/datasets/Lexski/sudoku-image-recognition.viewpoint-aware-pig-posture-recognition
Viewpoint-Aware Pig Posture Recognition Dataset
This dataset supports multi-camera, viewpoint-aware pig posture recognition in livestock barn environments. It contains real-world pig images, bounding box annotations, posture class labels, and per-instance camera viewpoint angles (azimuth and elevation) derived from PnP-based camera calibration.
Code: Anil-Bhujel/viewpoint-aware-pig-posture-recognition on GitHub
Dataset Summary
Images were captured from 2… See the full description on the dataset page: https://huggingface.co/datasets/anilbhujel/viewpoint-aware-pig-posture-recognition.multi-label-food-recognition
Multi-Label Food Recognition Dataset
This is a multi-label food recognition dataset generated from single-class food images.
Each image contains 2-5 different food items composited together using natural composition methods.
Dataset Details
Total Images: 13,000
Training Images: 10,400 (80%)
Validation Images: 2,600 (20%)
Number of Classes: 90
Labels per Image: 2-5 labels
Image Format: RGB, 512x512 pixels
File Format: Parquet
Dataset Structure
Each sample… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimdaud/multi-label-food-recognition.palm-recognition-dataset24,000 high-quality images from 2,000 diverse participants worldwide - smartphone palm recognition dataset for biometric authentication
Participants & Demographics
2,000 diverse participants from multiple countries
Balanced gender representation
6+ ethnic groups: Black, South Asian, Caucasian, Arab/Middle Eastern, Hispanic, East Asian
Age range: Under 20 to 50+ years
Both right-handed and left-handed individuals
Image Capture
Smartphone-based: 200+ different models… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/palm-recognition-dataset.MAHE_deepfake_recognition_datasetThis dataset is for different educational experiments of deepfake images classification.
It consists of the small datasets with various original and deepfake scenes (faces, animation, urban scenes and others):
Columbia Uncompressed Image Splicing Dataset
Kaggle Deepfake Dataset Challenge
CommunityForensics-Small
raw-food-recognition
Merged Raw Food Recognition Dataset
Dataset Description
This dataset is a comprehensive compilation of three publicly available food recognition datasets, merged and curated for raw food recognition tasks. The dataset contains images of various raw food items including fruits, vegetables, dairy products, and beverages, intended for educational purposes and the development of image recognition models.
Purpose
This dataset is created for educational purposes only… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimdaud/raw-food-recognition.letter_recognition
Dataset Card for "letter_recognition"
Images in this dataset was generated using the script defined below. The original dataset in CSV format and more information of the original dataset is available at A-Z Handwritten Alphabets in .csv format.
import os
import pandas as pd
import matplotlib.pyplot as plt
CHARACTER_COUNT = 26
data = pd.read_csv('./A_Z Handwritten Data.csv')
mapping = {str(i): chr(i+65) for i in range(26)}
def generate_dataset(folder, end, start=0):
if not… See the full description on the dataset page: https://huggingface.co/datasets/pittawat/letter_recognition.Black_People_Face_Recognition
Black people Face Detection Dataset: 3M+ Identities
Large human faces dataset for face recognition models (10M+ images)
Share with us your feedback and recieve additional samples for free!😊
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Dataset targeting 1:N and 1:1 NIST face recognition tests. Dataset contains 3M individuals, each with 3-5 images containing their faces
The dataset is “cleaned” and has… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Black_People_Face_Recognition.face-recognition-dataset
Face Recognition Dataset
Commercial collection of 100,000+ portrait images with multi-ethnic demographic coverage
Dataset Summary
The Axon Labs Face Recognition Dataset is one of the largest commercial face recognition collections available with guaranteed commercial-use licensing, featuring:
100,000+ high-quality face images
Multi-ethnic demographic coverage across nationalities and ethnicities
Balanced gender distribution
Wide age range from adults to seniors
Varied… See the full description on the dataset page: https://huggingface.co/datasets/Amanprime/face-recognition-dataset.historical-face-recognition-datasetHistorical face dataset for temporal face recognition research. This temporal face dataset pairs current selfies with archive selfies (5+ years old), enabling research on face aging, historical face recognition, and temporal analysis of facial features
7,000+ people, 70,000+ images: current selfies + archive photos
Contact us and share your feedback - recieve additional samples for free! 😊
Real Multi-Year Temporal Coverage
Archive photos from 6 months to 10+ years… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/historical-face-recognition-dataset.palm-recognition-dataset24,000 high-quality images from 2,000 diverse participants worldwide - smartphone palm recognition dataset for biometric authentication
Participants & Demographics
2,000 diverse participants from multiple countries
Balanced gender representation
6+ ethnic groups: Black, South Asian, Caucasian, Arab/Middle Eastern, Hispanic, East Asian
Age range: Under 20 to 50+ years
Both right-handed and left-handed individuals
Image Capture
Smartphone-based: 200+ different models… See the full description on the dataset page: https://huggingface.co/datasets/kartikchaudhary07/palm-recognition-dataset.face-recognition-dataset
Face Recognition Dataset
Commercial collection of 100,000+ portrait images with multi-ethnic demographic coverage
Dataset Summary
The Axon Labs Face Recognition Dataset is one of the largest commercial face recognition collections available with guaranteed commercial-use licensing, featuring:
100,000+ high-quality face images
Multi-ethnic demographic coverage across nationalities and ethnicities
Balanced gender distribution
Wide age range from adults to seniors
Varied… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/face-recognition-dataset.palm-recognition-dataset24,000 high-quality images from 2,000 diverse participants worldwide - smartphone palm recognition dataset for biometric authentication
Participants & Demographics
2,000 diverse participants from multiple countries
Balanced gender representation
6+ ethnic groups: Black, South Asian, Caucasian, Arab/Middle Eastern, Hispanic, East Asian
Age range: Under 20 to 50+ years
Both right-handed and left-handed individuals
Image Capture
Smartphone-based: 200+ different models… See the full description on the dataset page: https://huggingface.co/datasets/abhay2005gupta/palm-recognition-dataset.Black_People_Face_Recognition
Black people Face Detection Dataset: 3M+ Identities
Large human faces dataset for face recognition models (10M+ images)
Share with us your feedback and recieve additional samples for free!😊
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Dataset targeting 1:N and 1:1 NIST face recognition tests. Dataset contains 3M individuals, each with 3-5 images containing their faces
The dataset is “cleaned” and has… See the full description on the dataset page: https://huggingface.co/datasets/wanjavwa/Black_People_Face_Recognition.burmese-pyu-character-recognition
Burmese Pyu Character Recognition Dataset
English | မြန်မာဘာသာ
Overview
This Dataset is an image collection created for the purpose of computer recognition (Character Recognition) and research of the "Pyu" alphabet, an ancient script of Myanmar.
Brief Historical Background
The Pyu people were one of the earliest major ethnic groups to inhabit Myanmar, settling in the region since the early AD periods. The Pyu culture is of great importance when studying the… See the full description on the dataset page: https://huggingface.co/datasets/kalixlouiis/burmese-pyu-character-recognition.Human_Action_Recognition
Dataset Summary
A dataset from kaggle. origin: https://dphi.tech/challenges/data-sprint-76-human-activity-recognition/233/data
Introduction
The dataset features 15 different classes of Human Activities.
The dataset contains about 12k+ labelled images including the validation images.
Each image has only one human activity category and are saved in separate folders of the labelled classes
PROBLEM STATEMENT
Human Action Recognition (HAR) aims to understand… See the full description on the dataset page: https://huggingface.co/datasets/Shreyassanti/Human_Action_Recognition.Black_People_Face_Recognition
Black people Face Detection Dataset: 3M+ Identities
Large human faces dataset for face recognition models (10M+ images)
Share with us your feedback and recieve additional samples for free!😊
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Dataset targeting 1:N and 1:1 NIST face recognition tests. Dataset contains 3M individuals, each with 3-5 images containing their faces
The dataset is “cleaned” and has… See the full description on the dataset page: https://huggingface.co/datasets/giorgod/Black_People_Face_Recognition.Black_People_Face_Recognition
Black people Face Detection Dataset: 3M+ Identities
Large human faces dataset for face recognition models (10M+ images)
Share with us your feedback and recieve additional samples for free!😊
Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Dataset targeting 1:N and 1:1 NIST face recognition tests. Dataset contains 3M individuals, each with 3-5 images containing their faces
The dataset is “cleaned” and has… See the full description on the dataset page: https://huggingface.co/datasets/Monemax/Black_People_Face_Recognition.