18 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.

Self-driving dataset is a dataset of pedestrians in various environments.

A multi-camera HD dataset for dense unscripted pedestrian detection

UCSD Ped1 dataset contains 34 clips for training and 36 clips for testing.

Real-world AV dataset KITTI.

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...

Thermal-only pedestrian detection dataset

The Daimler pedestrian benchmark dataset is a dataset for pedestrian classification.

The KITTI object detection dataset is used for evaluating the proposed method.

CVC-09: FIR Sequence Pedestrian Dataset

The Ped2 dataset comprises of 16 training and 12 test videos and all videos have the same scene in the background.

Multispectral pedestrian detection: Benchmark dataset and baseline.

The ShanghaiTech dataset includes 330 training and 107 test videos recorded at 13 different background locations.

The CUHK Avenue dataset comprises one scene captured by a camera looking at an avenue near a subway entrance from a nearly horizontal view angle.

A benchmark for anomaly detection in crowded scenes. It contains 19600 frames captured using two different cameras.

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