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METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors. (arXiv:2109.07648v3 [cs.CV] UPDATED)
March 21, 2022, 1:10 a.m. | Rohan Chandra, Xijun Wang, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha
cs.CV updates on arXiv.org arxiv.org
We present a new traffic dataset, METEOR, which captures traffic patterns and
multi-agent driving behaviors in unstructured scenarios. METEOR consists of
more than 1000 one-minute videos, over 2 million annotated frames with bounding
boxes and GPS trajectories for 16 unique agent categories, and more than 13
million bounding boxes for traffic agents. METEOR is a dataset for rare and
interesting, multi-agent driving behaviors that are grouped into traffic
violations, atypical interactions, and diverse scenarios. Every video in METEOR
is tagged …
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