datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FaceDetection
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
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Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/datnguyentien204/FaceDetection.face-mask-detection
😷 Face Mask Detection
853 images across 3 classes, with bounding box annotations in PASCAL VOC format — for detecting whether a person is wearing a mask, not wearing one, or wearing one incorrectly.
🧭 Overview
Masks play a crucial role in protecting individuals against respiratory diseases and were one of the key precautions against COVID-19 in the absence of immunization. This dataset enables training object detection models to classify mask usage in images.… See the full description on the dataset page: https://huggingface.co/datasets/hmnshudhmn24/face-mask-detection.person-face-package-home-security-detection
Person, face & package — home-security detection dataset
YOLO-format dataset for person, face, vehicles, small vehicles, parcels, pets, and birds in home / delivery / street scenes. Full data lives under bigsplit/; sample/ is a 100-image preview subset (same layout: flat images/ and labels/).
Training configs point at a data.yaml beside those folders. Both splits use the same class list (nc and names); only the root path and which image set is packaged differ. Labels are YOLO .txt… See the full description on the dataset page: https://huggingface.co/datasets/OliseNS/person-face-package-home-security-detection.fake-face-detection-datasetweb-camera-face-liveness-detection
Web Camera Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under different lighting conditions and with different attributes (glasses, masks, hats, hoods, wigs, and mustaches for men).
The dataset is created on the basis of iBeta Level 1 Dataset
In the dataset, there are 7 types of videos filmed on a web camera:
Silicone Mask - demonstration of a silicone mask attack (silicone)
2D mask with… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/web-camera-face-liveness-detection.on-device-face-liveness-detection
Mobile Face Liveness Detection
The dataset consists of videos featuring individuals wearing various types of masks. Videos are recorded under different lighting conditions and with different attributes (glasses, masks, hats, hoods, wigs, and mustaches for men).
The dataset is created on the basis of iBeta Level 1 Dataset
In the dataset, there are 4 types of videos filmed on mobile devices:
2D mask with holes for eyes - demonstration of an attack with a paper/cardboard… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/on-device-face-liveness-detection.anime_face_detectionDataset for anime face detection (face only, not the entire head).
Dataset
Train
Test
Validate
Description
v1.4
12798
622
1217
Additional images from different categories have been annotated based on the v1 dataset. Furthermore, all automatically annotated data samples from the v1 dataset have been manually corrected.
v1.4-raw
4266
622
1217
Same as v1.4, without any preprocess and data augmentation. Suitable for directly upload to Roboflow platform.
v1
5943
293
566
Primarily… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/anime_face_detection.Face-Emotion-DetectionFace-Mask-Detection-DatasetFaceDetection
FaceDetection (TsFile)
Apache TsFile version of the FaceDetection UEA classification subset of
thuml/Time-Series-Library.
Overview
MEG brain-activity recordings; classify whether a face or scramble was shown.
Train samples: 5,890 • Test samples: 3,524.
Dimensions (channels): 144 • Series length: 62.
Classes: 2.
Each sample is an independent multivariate series. TRAIN and TEST are stored as
two separate TsFiles (FaceDetection_train.tsfile /… See the full description on the dataset page: https://huggingface.co/datasets/THULab/FaceDetection.Face-Mask-DetectionThe dataset contains three folders: Train, Test, and Validation. Each of these folders includes two subfolders—one for mask images and another for images without masks.
Face-Mask-DetectionOriginal datasets https://www.kaggle.com/datasets/ashishjangra27/face-mask-12k-images-dataset
face-detection
Face Detection Dataset
Small grayscale face crops + a large pool of natural-image negatives, packaged
for classical face detectors (Viola-Jones, Haar cascades, sliding-window
classifiers).
At a glance
Split
Rows
Faces / Non-faces
train
106,977
102,429 / 4,548
test
24,045
472 / 23,573 (CBCL benchmark)
negatives
29,879
— / 29,879 (Caltech-256)
Same schema across all splits: image, label (0/1), source, category.
Quick start
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/salvacarrion/face-detection.AI_Human_Face_DetectionFaceDetectionSampleDeep-Learning-Face-Detection-ProjectFace-Mask-Detection-SystemOriginal datasets https://www.kaggle.com/datasets/ashishjangra27/face-mask-12k-images-dataset
deepfake-face-image-detectiondeepfake-face-detection-datasetfacedetectionFace_Detection_datasetHackers_Face_Detection_Imageface_detectionface_and_emotion_detectionryma-m6-face-detectionFace_DetectionAI_Human_Face_Detection