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 award-winning methods. The dataset, the baseline code, and the website for
evaluation on the public testset are publicly available.

该论文提出了一个名为 SOD4SB 的新的 SOD 数据集，包含 39,070 张图像和 137,121 个鸟实例，旨在解决远距离小物体检测中的噪声、模糊和信息不足等挑战，并介绍了此挑战的细节、获奖方法、数据集、基准代码和公开测试集评估网站。