3 datasets found

Semantic image segmentation plays a pivotal role in many vision applications including autonomous driving and medical image analysis.

The PASCAL Context dataset is a benchmark for multi-task learning in computer vision. It contains 10103 images with 5 tasks: semantic segmentation, human body part segmentation,...

The dataset used for image classification and semantic image segmentation.