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.

搜集汇总

背景与挑战

背景概述

WIDER FACE是一个用于人脸检测的基准数据集，选自WIDER数据集，包含32,203张图像和393,703个标注人脸，具有尺度、姿态和遮挡的高度可变性。该数据集基于61个事件类别组织，划分为训练、验证和测试集，采用PASCAL VOC的评估指标，且测试集的真实边界框不公开，用户需提交预测文件以进行评估。