datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Collective-Activity-Recognition
Annotation Format
Every 10th frame in all video sequences was manually annotated with the following information for each detected person:
Bounding box location
Activity class
Pose direction
Annotation Fields
Each annotation follows the format:
<frame_number> <x> <y> <width> <height> <class_id> <pose_id>
Field
Description
frame_number
Frame identifier
x
X-coordinate of the bounding box (top-left corner)
y
Y-coordinate of the bounding box (top-left… See the full description on the dataset page: https://huggingface.co/datasets/litforth/Collective-Activity-Recognition.Openpdf-Analysis-Recognition
Openpdf-Analysis-Recognition
The Openpdf-Analysis-Recognition dataset is curated for tasks related to image-to-text recognition, particularly for scanned document images and OCR (Optical Character Recognition) use cases. It contains over 6,900 images in a structured imagefolder format suitable for training models on document parsing, PDF image understanding, and layout/text extraction tasks.
Attribute
Value
Task
Image-to-Text
Modality
Image
Format
ImageFolder… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Openpdf-Analysis-Recognition.scenario-recognition-for-display
Screen Scene Recognition Dataset for Display Chip
Dataset Description
This dataset is specifically designed for edge-side AI model development of display chips, targeting real-time recognition of 22 types of screen scenes. It addresses the pain points of missing public datasets, high category similarity, and poor data quality in screen scene recognition tasks, providing high-quality labeled data for algorithm research and engineering deployment.… See the full description on the dataset page: https://huggingface.co/datasets/amazingtrash/scenario-recognition-for-display.synthetic-medical-document-recognition-benchmark
Synthetic Medical Document Recognition Benchmark
This dataset contains synthetic, English-language medical records rendered as
documents for evaluating automated data extraction and de-identification
systems. Each synthetic patient has a longitudinal FHIR R4 record and multiple
visual representations derived from that record.
Every rendered document is clearly marked as synthetic. This makes the dataset
suitable for manual testing, product demonstrations, and workflows that… See the full description on the dataset page: https://huggingface.co/datasets/morzel85/synthetic-medical-document-recognition-benchmark.text_recognition_en_zh_clean
Dataset Card for "text_recognition_en_zh_clean"
More Information needed
MJSynth_text_recognition
Dataset Card for "MJSynth_text_recognition"
This is the MJSynth dataset for text recognition on document images, synthetically generated, covering 90K English words.
It includes training, validation and test splits.
Source of the dataset: https://www.robots.ox.ac.uk/~vgg/data/text/
Use dataset streaming functionality to try out the dataset quickly without downloading the entire dataset (refer: https://huggingface.co/docs/datasets/stream)
Citation details provided on the source… See the full description on the dataset page: https://huggingface.co/datasets/priyank-m/MJSynth_text_recognition.trdg_random_en_zh_text_recognition
Dataset Card for "trdg_random_en_zh_text_recognition"
This synthetic dataset was generated using the TextRecognitionDataGenerator(TRDG) open source repo:
https://github.com/Belval/TextRecognitionDataGenerator
It contains images of text with random characters from Engilsh(en) and Chinese(zh) languages.
Reference to the documentation provided by the TRDG repo:
https://textrecognitiondatagenerator.readthedocs.io/en/latest/index.html
synth-text-recognition
Dataset Card for "Synth-Text Recognition"
This is the dataset for text recognition on document images, synthetically generated, covering 90K English words.
It includes training, validation and test splits.
text_recognition_en_zh
Dataset Card for "text_recognition_en_zh"
More Information needed
CN_Gesture_Recognition
Guesture Recognition 👋
A Code Network Gesture Recognition Software project implemented in Python for recognizing and classifying hand gestures using computer vision and machine learning techniques.
QUT Code Network Gesture Recognition Dataset
This dataset is used to train a gesture recognition model for a QUT Code Network project.
Guestures Recognised
Thumbs Up
Thumbs Down
Sign of the Horns (Rock Sign)
Vulcan Salute
Palm/Stop
Fist Bump
Fist (Up)
Peace
Heart… See the full description on the dataset page: https://huggingface.co/datasets/CNGR/CN_Gesture_Recognition.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.
face-recognitionEvArEST-dataset-for-Arabic-scene-text-recognition
EvArEST
Everyday Arabic-English Scene Text dataset, from the paper: Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset
The dataset includes both the recognition dataset and the synthetic one in a single train and test split.
Recognition Dataset
The text recognition dataset comprises of 7232 cropped word images of both Arabic and English languages. The groundtruth for the recognition dataset is provided by a text file with each line… See the full description on the dataset page: https://huggingface.co/datasets/Melaraby/EvArEST-dataset-for-Arabic-scene-text-recognition.text-recognition
Dataset Card for "text-recognition"
More Information needed
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.TACO-Waste-RecognitionSROIE_2019_text_recognitionThis dataset we prepared using the Scanned receipts OCR and information extraction(SROIE) dataset.
The SROIE dataset contains 973 scanned receipts in English language.
Cropping the bounding boxes from each of the receipts to generate this text-recognition dataset resulted in 33626 images for train set and 18704 images for the test set.
The text annotations for all the images inside a split are stored in a metadata.jsonl file.
usage:
from dataset import load_dataset
data =… See the full description on the dataset page: https://huggingface.co/datasets/priyank-m/SROIE_2019_text_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/Bingsu/Human_Action_Recognition.bank-statement-structure-recognition
Synthetic Bank Statement Table Structure Dataset
A synthetically generated collection of bank statement images with pixel-perfect, automatically-produced bounding box annotations for table structure recognition (TSR).
🔑 In one sentence: fake bank statements + auto-generated YOLO labels for every table cell, built so you can train table-detection models (TATR, DETR, YOLO) without manual annotation.
At a Glance
Task
Object Detection → Table… See the full description on the dataset page: https://huggingface.co/datasets/Panhapich/bank-statement-structure-recognition.taiwan-license-plate-recognitionsudoku-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.fruit-and-vegetable-image-recognitionLogo-Recognition-ResNet50-TripletNet-Embeddings-Datasetsynth-text-recognition-multilines-cs
Czech Synthetic Multiline Text Recognition Dataset
A large-scale synthetic dataset for Czech multiline text recognition, containing 100,000 text images with corresponding transcriptions. Created using SynthTiger.
Dataset Description
This dataset consists of synthetically generated images of Czech text with multiple lines per image, designed for training optical character recognition (OCR) models that can handle complex multiline text layouts. Each image contains 3 lines… See the full description on the dataset page: https://huggingface.co/datasets/Empatixx/synth-text-recognition-multilines-cs.synth-text-recognition-cs
Czech Synthetic Text Recognition Dataset
A large-scale synthetic dataset for Czech text recognition, containing 454,820 text images with corresponding transcriptions. Created using SynthTiger.
Dataset Description
This dataset consists of synthetically generated images of Czech text, designed for training optical character recognition (OCR) models. Each image contains a single word or short phrase rendered with various visual effects to simulate real-world text appearance.… See the full description on the dataset page: https://huggingface.co/datasets/Empatixx/synth-text-recognition-cs.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.chinese_text_recognitionSource of data: https://github.com/FudanVI/benchmarking-chinese-text-recognition
IAM_words_text_recognitionContinuous-Ethnicity-Face-Recognition
Dataset Card for Ethnicity Fairness in a Continuous Space
Dataset Details
Dataset Description
This dataset provides the training images (from BalancedFace and GlobalFace produced by BUPT) used in the paper: "Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition".
These have been curated to be balanced in a continuous ethnicity space, following three different strategies: Protocol A, Protocol B and Protocol C.… See the full description on the dataset page: https://huggingface.co/datasets/netopedro/Continuous-Ethnicity-Face-Recognition.Diverse-hand-gesture-recognition