BDD-100K

The BDD-100K dataset is a large-scale benchmark that contains diverse driving scenarios and is used to evaluate object detection performance in connected autonomous vehicles.

Papers using BDD-100K (3)

Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation2025FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving2025Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection2023 · 3 cites