FSS-1000 Small Sample Image Segmentation Dataset

FSS-1000 is a small sample segmentation dataset containing 1000 classes. This dataset explores the task of training a model to complete image recognition tasks using only 5 manually annotated images. The dataset contains a large number of objects that have never appeared or been annotated in previous datasets, such as small daily objects, commodities, cartoon characters, logos, etc.