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.

Papers using WIDER FACE (12)

Retinaface: Single-stage Dense Face Localisation In The Wild2019 · 423 citesDetecting Faces Using Region-based Fully Convolutional Networks2017 · 94 citesFace Detection Using Improved Faster RCNN2018 · 64 citesFace Detection with the Faster R-CNN2016 · 36 citesAccurate Face Detection for High Performance2019 · 24 citesRobust and High Performance Face Detector2019 · 23 citesASFD: Automatic And Scalable Face Detector2022 · 20 citesSface: An Efficient Network For Face Detection In Large Scale Variations2018 · 20 citesFace Detection With Feature Pyramids And Landmarks2019 · 9 citesAccelerating Proposal Generation Network For \\fast Face Detection On Mobile Devices2019 · 3 citesRevisiting A Single-stage Method For Face Detection2019 · 1 citesJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks2016