27 datasets found

Multi-label image recognition is a practical and challenging task compared to single-label image classification.

The proposed learnable tree filter for structure-preserving feature transform.

A dataset for semantic segmentation of high-resolution remote sensing images.

A benchmark dataset for semantic segmentation of high-resolution remote sensing images.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...

The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...