Object Detection

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.

These expressions are produced at two levels of emotional intensities (regular and strong) except for the neutral emotion that only contains regular intensity.

Dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.

The data can be used for tasks such as character recognition in multiple scenes.