The data diversity includes multiple poses, different ages, different light conditions and multiple scenes. This data can be used for tasks such as face detection and face recognition.
Cityscapes is a large-scale urban street-scene dataset with stereo video and high-quality pixel-level annotations, built for benchmarking semantic segmentation, instance segmentation, and panoptic scene understanding for autonomous driving and smart-city computer vision.
The database contains 25 Indoor categories, and a total of 1,000 images. The number of images varies across categories, but there are at least 20-30 images per category. All images are in jpg format. The images provided here are for research purposes only.