BDD-100K

The BDD100K dataset is a large-scale benchmark that contains diverse driving scenes and is used to evaluate various tasks in autonomous driving, including object detection, segmentation, and tracking.

Papers using BDD-100K (4)

UV-M3TL: A Unified and Versatile Multimodal Multi-Task Learning Framework for Assistive Driving Perception2026Language-Grounded Multi-Domain Image Translation via Semantic Difference Guidance2026Vision-Based Natural Language Scene Understanding for Autonomous Driving: An Extended Dataset and a New Model for Traffic Scene Description Generation2026INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation2025