Small object detection: Difference between revisions

Revision as of 17:29, 14 September 2022

Revision as of 17:30, 14 September 2022

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{{Short description|small object detection}}

{{Draft topics|stem}}

{{AfC topic|stem}}

{{AfC submission|||ts=20220914094357|u=Yagnik B|ns=2}}

'''Small object detection''' is a particular case of [[object detection]] where various techniques are employed to detect small objects in digital images and videos. “Small objects” refer to objects having a small pixel footprint in the input image. In areas such as [[Aerial photography|aerial imagery]], [[State of the art|state-of-the-art]] object detection techniques unperformed because of small objects.

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== External links ==

[https://github.com/VisDrone/VisDrone-Dataset VisDrone] dataset by AISKYEYE team at Lab of Machine Learning and Data Mining, Tianjin University, China.

[[Category:Imaging sensors]]

[[Category:Imaging]]