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WIDER FACE

A Face Detection Benchmark

WIDER FACE

WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. We choose 32,203 images and label 393,703 faces with a high degree of variability in scale, pose and occlusion as depicted in the sample images. WIDER FACE dataset is organized based on 61 event classes. For each event class, we randomly select 40%/10%/50% data as training, validation and testing sets. We adopt the same evaluation metric employed in the PASCAL VOC dataset. Similar to MALF and Caltech datasets, we do not release bounding box ground truth for the test images. Users are required to submit final prediction files, which we shall proceed to evaluate.

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The Chinese University of Hong Kong
https://www.cuhk.edu.hk/english/index.html
Task
Face Detection
Annotation Types
Bounding Boxes
393703
Items
61
Classes
32203
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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