Overview
Semantic segmentation plays a pivotal role in enabling autonomous vehicles to understand their surroundings, but adverse weather conditions pose significant challenges, often leading to hazardous situations. The central challenge addressed by the competition is optimizing the Safe mIoU metric for semantic s egmentation in adverse weather conditions to ensure the safety of autonomous driving systems.
This competition is aimed at assessing the performance of semantic segmentation models in adverse weather conditions for autonomous driving. Participants are provided with the IDD-AW dataset, comprising 5000 pairs of high-quality images with pixel-level annotations, captured under adverse weather conditions such as rain, fog, low light, and snow. Emphasizing the correct identification of safety-critical elements and penalizing unsafe false predictions (False). The Participants aim to develop robust models that accurately segment driving scenes even in adverse weather conditions, focusing on prioritizing safety-related mispredictions.
Timeline
- Competition Announcement : April 26, 2024
- Registration Start: May 06, 2024 apply Registration Form
- Sample Images Avaliable (Now): May 16, 2024 click here
- Full Data Available : May 20, 2024 click here
- Submission Open : May 20, 2024
- Final Submission Deadline : July 15, 2024
- Award Notification : July 25, 2024
- Report Submission Deadline: September 02, 2024
- Paper Presentation at ICPR Conference : December 1-5, 2024
Awards
On completion of the task, we aim to designate winners based on the evaluation process of the proposed system. Winning teams that successfully complete the task will receive prizes as follows: 1000 USD for 1st place, 500 USD for 2nd place , and 300 USD for 3rd place. However, prizes will only be awarded if the competition report is accepted for publication in ICPR proceedings. Acceptance of the competition report is contingent upon having sufficient participants to draw meaningful conclusions.
