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Peng Cheng Object Detection Benchmark for Smart City. (arXiv:2203.05949v1 [cs.CV])
March 14, 2022, 1:10 a.m. | Yaowei Wang, Zhouxin Yang, Rui Liu, Deng Li, Yuandu Lai, Leyuan Fang, Yahong Han
cs.CV updates on arXiv.org arxiv.org
Object detection is an algorithm that recognizes and locates the objects in
the image and has a wide range of applications in the visual understanding of
complex urban scenes. Existing object detection benchmarks mainly focus on a
single specific scenario and their annotation attributes are not rich enough,
these make the object detection model is not generalized for the smart city
scenes. Considering the diversity and complexity of scenes in intelligent city
governance, we build a large-scale object detection benchmark …
More from arxiv.org / cs.CV updates on arXiv.org
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