Extended Data Fig. 5: Feature importance for person detection.
From: Fair human-centric image dataset for ethical AI benchmarking
This figure shows feature importance scores extracted from random forest models for two person detection methods: (a) Faster R-CNN and (b) Deformable DETR. Features are ranked from most to least important. The elbow method was applied to select the top-K attributes (K = 5 for Faster R-CNN, K = 6 for Deformable DETR) for use in decision tree models. Lighting refers to the direction of head/face.
