WIDER FACE 数据集是一个人脸检测基准数据集，其中图像选自公开可用的 WIDER 数据集。我们选择了 32,203 张图像并标记了 393,703 张在尺度、姿势和遮挡方面具有高度可变性的面孔，如样本图像中所示。 WIDER FACE 数据集基于 61 个事件类进行组织。对于每个事件类，我们随机选择 40%/10%/50% 的数据作为训练、验证和测试集。我们采用与 PASCAL VOC 数据集相同的评估指标。与 MALF 和 Caltech 数据集类似，我们不发布测试图像的边界框地面实况。

Submission

Please contact us to evaluate your detection results. An evaluation server will be available soon.
The detection result for each image should be a text file, with the same name of the image. The detection results are organized by the event categories. For example, if the directory of a testing image is "./0--Parade/0_Parade_marchingband_1_5.jpg", the detection result should be writtern in the text file in "./0--Parade/0_Parade_marchingband_1_5.txt". The detection output is expected in the follwing format:
...
< image name i >
< number of faces in this image = im >
< face i1 >
< face i2 >
...
< face im >
...
Each text file should contain 1 row per detected bounding box, in the format "[left, top, width, height, score]". Please see the output example files and the README if the above descriptions are unclear.

Citation

	@inproceedings{yang2016wider,
	Author = {Yang, Shuo and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
	Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
	Title = {WIDER FACE: A Face Detection Benchmark},
	Year = {2016}}		

Contact

For questions and result submission, please contact Shuo Yang at shuoyang.1213@gmail.com