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PASCAL Context
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,... -
ImageNet classification dataset
The dataset used for image classification and semantic image segmentation.