Omkar2118/datasets huggingface dataset:
DIS100k
Full name: DIS100k

This is an image splicing dataset including different types of preprocessing and postprocessing techniques. Foreground objects are taken from HRSOD and background images are taken from BG20k datasets. 95000 train and 5000 test images are provided.
PatternCom

PatternCom is a composed image retrieval benchmark based on PatternNet. PatternNet is a large-scale high-resolution remote sensing image retrieval dataset. There are 38 classes and each class has 800 images of size 256×256 pixels. In PatternCom, we select some classes to be depicted in query images, and add a query text that defines an attribute relevant to that class. For instance, query images of “swimming pools” are combined with text queries defining “shape” as “rectangular”, “oval”, and “kidney-shaped”. In total, PatternCom includes six attributes consisted of up to four different classes each. Each attribute can be associated with two to five values per class. The number of positives ranges from 2 to 1345 and there are more than 21k queries in total.

Introducing paper: Composed Image Retrieval for Remote Sensing