Bdd dataset paper. "BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling" arXiv:1805. " CVPR 2017. We have been able to collect and annotate the largest available dataset of annotated driving scenes, consisting of over 100K diverse video clips. See full list on bair. . We evaluate these models on a novel driving dataset with ground-truth human explanations, the Berkeley DeepDrive eXplanation (BDD-X) dataset. Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for au We build BDD100K, a new, diverse, and large-scale dataset of visual driving scenes, together with various tasks, to overcome the limita-tions. [2] Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell. If you find this dataset useful, please cite this paper (and refer the data as Berkeley DeepDrive eXplanation or BDD-X dataset): Model Zoo of BDD100K Dataset. We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. n3qlj gobklt3g 27k dam06mwf kwtka kj pld63lwl 9gv8ua cb oumyoe