Overview

Following the success of the First WIDER Challenge Workshop , we organize a new round of challenge in conjunction with ICCV 2019. The challenge centers around the problem of precise localization of human faces and bodies, and accurate association of identities. It comprises of four tracks:

WIDER Face Detection , aims at soliciting new approaches to advance the state-of- the-art in face detection.

WIDER Pedestrian Detection , has the goal of gathering effective and efficient approaches to address the problem of pedestrian detection in unconstrained environments.

WIDER Cast Search by Portrait , presents an exciting challenge of searching cast across hundreds of movies.

WIDER Person Search by Language , aims to seek new approaches to search person by natural language.

Datasets and Submission

Datasets are available at the Codalab site of each challenge track. Submissions to all phases will be done through the CodaLab site. Please register to the site and refer to the instructions on how to download the datasets and submit your results. Also the evaluation metrics of each track would be introduced there.

Link to Codalab: WIDER Face Detection -- WIDER Pedestrian Detection -- WIDER Cast Search by Portrait -- WIDER Person Search by Language

Prizes

The winner team of each track will receive cash prize and AWS credits. Challenge participants with the most successful and innovative methods will be invited to present at the workshop and to submit a paper to the workshop.

Terms and Conditions

Link to Terms and Conditions.

In the event of any inconsistency between the terms and details of this website and Codalab competition sites, the details on the Codalab sites shall prevail.

Contact

For more information, please contact us at wider-challenge@ie.cuhk.edu.hk.