Off-the-shelf image datasets can be utilised for computer vision applications, including facial recognition, object detection, synthetic data generation, and other visual recognition use cases.
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.
Dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer.
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.