5 datasets found

The CityPersons dataset is a new pedestrian detection dataset, consisting of 500 images with annotated objects.

The Caltech dataset is a large-scale dataset for pedestrian detection, consisting of 4024 images with annotated objects.

Pedestrian detection: An evaluation of the state of the art.

The dataset used in the paper is a video prediction dataset with occlusions, which is used to evaluate the proposed Fast Fourier Inception Networks (FFINet) for occluded video...

The dataset used for pedestrian detection, occlusion and body part relevance assessment.