datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
face-masksFace Masks ensemble dataset is no longer limited to Kaggle, it is now coming to Huggingface!
This dataset was created to help train and/or fine tune models for detecting masked and un-masked faces.
I created a new face masks object detection dataset by compositing together three publically available face masks object detection datasets on Kaggle that used the YOLO annotation format.
To combine the datasets, I used Roboflow.
All three original datasets had different class dictionaries, so I… See the full description on the dataset page: https://huggingface.co/datasets/hlydecker/face-masks.silicone-mask-dataset
Silicone Mask Dataset — 12,500+ Videos for Face Anti-Spoofing & Liveness Detection
A silicone mask presentation attack dataset for face anti-spoofing, liveness detection, and biometric face recognition systems. The dataset contains 12,500+ attack videos featuring 18 hyper-realistic silicone masks, designed for training and benchmarking presentation attack detection (PAD) models. Aligned with the ISO/IEC 30107-3 standard for biometric anti-spoofing and suitable for iBeta Level 2 PAD… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/silicone-mask-dataset.medical-masks-image-dataset
Face Mask Images Dataset
Dataset comprises 245,960 images of individuals captured in four different states of medical mask usage. Images feature varied lighting, angles, and demographics to ensure robust model generalization. It designed to train and evaluate detection models and mask detectors.
Dataset enables advancements in biometric security, spoofing detection, and high-quality AI model development for real-world applications. - Get the data
💵 Buy the Dataset:… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/medical-masks-image-dataset.standford_cars_masks
Stanford Cars with SAM3 Segmentation Masks
This dataset was created using segmentationAPI.com
A version of the Stanford Cars dataset
augmented with per-image segmentation masks generated by SAM3 (Segment Anything Model 3).
Schema
Column
Type
Description
image
Image
Original car photograph (JPEG)
label
int
Class label (0–195, 196 car models)
split
string
train or test
mask
Image
Binary segmentation mask (grayscale PNG)
bbox
list[int]
Bounding box [x1, y1… See the full description on the dataset page: https://huggingface.co/datasets/segmentationAPIs/standford_cars_masks.Face-Mask-DetectionOriginal datasets https://www.kaggle.com/datasets/ashishjangra27/face-mask-12k-images-dataset
mask_kaggle
Dataset Summary
A dataset from kaggle. origin: https://dphi.tech/challenges/data-sprint-76-human-activity-recognition/233/data
Introduction
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PROBLEM STATEMENT
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About Files
Train - contains all the images that are to be used for training your model. In this folder you will find 15 folders namely - 'calling', ’clapping’, ’cycling’, ’dancing’, ‘drinking’, ‘eating’, ‘fighting’, ‘hugging’, ‘laughing’, ‘listeningtomusic’, ‘running’, ‘sitting’… See the full description on the dataset page: https://huggingface.co/datasets/Elisa/mask_kaggle.