by Fisher Yu,Haofeng Chen,Xin Wang,Wenqi Xian,Yingying Chen,Fangchen Liu,Vashisht Madhvan,Trevor DarrellUnknown
by Fisher Yu,Haofeng Chen,Xin Wang,Wenqi Xian,Yingying Chen,Fangchen Liu,Vashisht Madhvan,Trevor DarrellLicense : Unknown
It contains 100,000 videos representing more than 1000 hours of driving experience with more than 100 million frames. The videos comes with GPU/IMU data for trajectory information. They are manually tagged with weather, time of the day, and scene types. We also labeled bounding boxes of all the objects on the road, lane markings, drivable areas and detailed full-frame instance segmentation. To obtain the dataset, please log in and go to the download pages. The challenges include three tasks based on BDD100K: road object detection, drivable area segmentation and full-frame semantic segmentationThere are 70,000 training and 10,000 validation images for the first two tasks. 7,000 training and 1,000 validation images are provided for the third task.
TasksClassification, Detection, Segmentation
CategoriesAutonomous Driving, Roads, Streets
BannerBillboardLane DriverParking SignPolePolegroupStreet lightTraffic ConeTraffic deviceTraffic lightTraffic SignSign framePersonRiderBicycleBusCarCaravanMotorcycleTrailerTrainTruck