Transcription of BDD100K: A Diverse Driving Video Database with …
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BDD100K: A Diverse Driving Video Database with …
BDD100K: A Diverse Driving Video Database withScalable Annotation ToolingFisher Yu1 Wenqi Xian2 Yingying Chen1 Fangchen Liu3 Mike Liao1 Vashisht Madhavan4 Trevor Darrell11UC Berkeley2 Georgia Institute of Technology3 Peking University4 Uber AI drive vision progress and autonomous Driving is a criticalvision application, yet existing Driving datasets are impoverished in terms of vi-sual content. Driving imagery is becoming plentiful, but annotation is slow andexpensive, as annotation tools have not kept pace with the flood of data. Ourfirst contribution is the design and implementation of a scalable annotation sys-tem that can provide a comprehensive set of image labels for large-scale driv-ing datasets.
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling Fisher Yu 1Wenqi Xian2 Yingying Chen Fangchen Liu3 Mike Liao1 Vashisht Madhavan4 Trevor Darrell1 1UC Berkeley 2Georgia Institute of Technology 3Peking University 4Uber AI …
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