This dataset which is a subset of WIDER dataset contains labeled face images with different poses, scales and different situations like marching or hand shaking. Separate download links are available on the dataset page for training, validation and testing with random selection of 40%, 10% and 50% of the whole data respectively. The evaluation and testing results are available for comparison on the results section of the page. You can find this information as well as the download links on http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/index.html.
Here is some information regarding this dataset:
Number of images in the dataset: 32,203 images
Number of identities: 393,703 subjects with labeled faces
Image resolution: 1024×754
If you use this dataset:
Please make sure to cite the paper:
S. Yang, P. Luo, C. C. Loy, X. Tang, WIDER FACE: A Face Detection Benchmark. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.