ImagesVideos

CUHK-SYSU

CUHK-SYSU Person Search Dataset

Introduced in Joint Detection and Identification Feature Learning for Person Search2016

About this Dataset

The CUKL-SYSY dataset is a large scale benchmark for person search, containing 18,184 images and 8,432 identities. Different from previous re-id benchmarks, matching query persons with manually cropped pedestrians, this dataset is much closer to real application scenarios by searching person from whole images in the gallery.

Source: http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html Image Source: http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html

Source: Joint Detection and Identification Feature Learning for Person Search

Dataset Variants

CUHK-SYSU

Papers1

Joint Detection and Identification Feature Learning for Person Search

A new deep learning framework for person search that jointly handles pedestrian detection and person re-identification in a single convolutional neural network and converges much faster and better than the conventional Softmax loss.

Tasks

EDIT

Person Re-Identification Person Search

Similar Datasets

MNIST

CelebA

JFT-300M

Statistics

Papers

1

Tasks

32

Introduced

2016

License

Unknown

Modalities

ImagesVideos