BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling

arXiv: Computer Vision and Pattern Recognition, Volume abs/1805.04687, 2018.

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Abstract:

Datasets drive vision progress and autonomous driving is a critical vision application, yet existing driving datasets are impoverished in terms of visual content. Driving imagery is becoming plentiful, but annotation is slow and expensive, as annotation tools have not kept pace with the flood of data. Our first contribution is the design ...More

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