Remote Sensing Super-resolution Object Detection (RSSOD) Dataset

A new benchmark dataset RSSOD, for object detection of small objects in remote sensing images, with a high overlap of classes. Total 3 sets of annotations, 5-class, 4, class, 2-class, and Single-Class.
Format: YOLO and COCO.

If this dataset helped you in your research please cite:
1- Bashir, Syed Muhammad Arsalan; Wang, Yi; Khan, Mahrukh; Ullah, Qudrat; Wang, Rui; Song, Yilin; Guo, Zhe; Niu, Yilong (2021), “Remote Sensing Super-resolution Object Detection (RSSOD)”, Mendeley Data, V1, DOI: 10.17632/b268jv86tf.1

2- Wang, Yi; Bashir, Syed Muhammad Arsalan; Khan, Mahrukh; Ullah, Qudrat; Wang, Rui; Song, Yilin; Guo, Zhe; Niu, Yilong (2021), “Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art ”, arXiv. https://arxiv.org/abs/2111.03260

本数据集为一款面向遥感图像小目标检测的全新基准数据集RSSOD，其全称为Remote Sensing Super-resolution Object Detection，数据集内类别间存在较高的重叠度。该数据集共包含3套标注方案，分别为5分类、4分类、2分类以及单分类标注集，支持YOLO与COCO两种标注存储格式。

若本数据集对您的研究有所帮助，请引用以下文献：
1. Bashir, Syed Muhammad Arsalan; Wang, Yi; Khan, Mahrukh; Ullah, Qudrat; Wang, Rui; Song, Yilin; Guo, Zhe; Niu, Yilong (2021), 《遥感超分辨率目标检测（RSSOD）》，Mendeley数据仓库，版本1，DOI: 10.17632/b268jv86tf.1
2. Wang, Yi; Bashir, Syed Muhammad Arsalan; Khan, Mahrukh; Ullah, Qudrat; Wang, Rui; Song, Yilin; Guo, Zhe; Niu, Yilong (2021), 《遥感图像超分辨率与目标检测：基准数据集与当前研究进展》，arXiv预印本，https://arxiv.org/abs/2111.03260