Summary
International Conference on Machine Vision Applications
2023
Session Number:TE
Session:
Number:TE-1
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Kondo Yuki, Ukita Norimichi, Yamaguchi Takayuki, Hou Hao-Yu, Shen Mu-Yi, Hsu Chia-Chi, Huang En-Ming, Huang Yu-Chen, Xia Yu-Cheng, Wang Chien-Yao, Lee Chun-Yi, Huo Da, Kastner Marc-A., Liu Tingwei, Kawanishi Yasutomo, Hirayama Takatsugu, Komamizu Takahiro, Ide Ichiro, Shinya Yosuke, Liu Xinyao, Liang Guang, Yasui Syusuke,
pp.-
Publication Date:2023/07/23
Online ISSN:2188-5079
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Summary:
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects. This paper proposes a new SOD dataset consisting of 39,070 images including 137,121 bird instances, which is called the Small Object Detection for Spotting Birds (SOD4SB) dataset. The detail of the challenge with the SOD4SB dataset is introduced in this paper. In total, 223 participants joined this challenge. This paper briefly introduces the awardwinning methods. The dataset, the baseline code, and the website for evaluation on the public testset are publicly available.