April 29, 2024, 4:44 a.m. | Mehmet Kerem Turkcan, Sanjeev Narasimhan, Chengbo Zang, Gyung Hyun Je, Bo Yu, Mahshid Ghasemi, Javad Ghaderi, Gil Zussman, Zoran Kostic

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.16944v1 Announce Type: new
Abstract: We introduce Constellation, a dataset of 13K images suitable for research on detection of objects in dense urban streetscapes observed from high-elevation cameras, collected for a variety of temporal conditions. The dataset addresses the need for curated data to explore problems in small object detection exemplified by the limited pixel footprint of pedestrians observed tens of meters from above. It enables the testing of object detection models for variations in lighting, building shadows, weather, and …

abstract arxiv benchmarking cameras constellation cs.cv data dataset detection explore high-altitude images intersection object objects research small temporal type urban

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