Omkar2118/datasets huggingface dataset:
COCO-OOC

COCO-OOC goes beyond standard object detection to ask the question: Which objects are out-of-context (OOC)? Given an image with a set of objects, the goal of COCO-OOC is to determine if an object is inconsistent with the contextual relations, where it must detect the OOC object with a bounding box. 

COCO-OOC is derived from COCO by inserting objects into images that violate contextual relationships compared to the existing objects in a scene.

COCO-OOC has 106,036 images with two kinds of OOC violations: co-occurrence and size.

Introducing paper: Detecting out-of-context objects using contextual cues