The data includes 200 images of natural scenes (plaque, packaging instructions, small advertisements, menus, posters, etc.), Internet images (magazine covers, comic covers, etc.), Document images (text documents, etc.).
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.