25 datasets found

CityPersons and CrowdHuman are two benchmark datasets for pedestrian detection. CityPersons contains 35k person and 13k ignore region annotations, while CrowdHuman contains 340k...

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 in top-view fisheye images using composite images of perspective views

Pedestrian detection in top-view fisheye images using composite images of perspective views

Pedestrian detection in top-view fisheye images using composite images of perspective views

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.

KAIST Multispectral Dataset is a multispectral dataset for pedestrian detection.

Image fusion aims to combine information from different source images to create a comprehensively representative image. Existing fusion methods are typically helpless in dealing...

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

Multi-Camera Multi-Object Tracking (MC-MOT) dataset for reconfigurable spatial-temporal graph model

The Caltech Pedestrian Dataset contains pedestrian images taken at a busy street in Pasadena, California.

Pedestrian detection plays an important role in many applications such as autonomous driving. We propose a method that explores semantic segmentation results as self-attention...

A benchmark for pedestrian detection.

TUD-Brussels pedestrian dataset

ETH pedestrian dataset