HICO-DET

Introduced by Chao et al. in Learning to Detect Human-Object Interactions

HICO-DET is a dataset for detecting human-object interactions (HOI) in images. It contains 47,776 images (38,118 in train set and 9,658 in test set), 600 HOI categories constructed by 80 object categories and 117 verb classes. HICO-DET provides more than 150k annotated human-object pairs. V-COCO provides 10,346 images (2,533 for training, 2,867 for validating and 4,946 for testing) and 16,199 person instances. Each person has annotations for 29 action categories and there are no interaction labels including objects.

Source: Visual Compositional Learning for Human-Object Interaction Detection

Homepage

Benchmarks

Add a new result Link an existing benchmark

Task	Dataset Variant	Best Model
Human-Object Interaction Detection	HICO-DET	RLIPv2
Zero-Shot Human-Object Interaction Detection	HICO-DET	RLIPv2
Weakly Supervised Object Detection	HICO-DET	Spatial Prior
Affordance Recognition	HICO-DET	SCL
Human-Object Interaction Concept Discovery	HICO-DET	SCL