151 datasets found

DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data.

The PhraseCut dataset contains images annotated with referring expressions, focusing on phrases with a single entity and relation.

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

The FSS-1000 dataset contains 1000 images with 1000 object categories.

Semantic segmentation is one of the fundamental prob-lems in computer vision, whose task is to assign a seman-tic label to each pixel of an image so that different classes can...

The Sewer Pipe Cracks dataset contains images of sewer pipes with and without cracks.

The Magnetic Tile Defect Datasets contain images of magnetic tiles with and without defects.

Instance segmentation (IS) is an important computer vision task, aiming at simultaneously predicting the class label and the binary mask for each instance of interest in an image.

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...

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...