---
license: cc-by-4.0
---
# RSDet-datasets

RSDet-datasets is a curated collection of 33 widely used remote sensing object detection datasets, totaling 700+ GB. 

It provides centralized access to these datasets with unified DOTA-style TXT and COCO JSON annotations, supporting both :
- horizontal bounding box (HBB)
- oriented bounding box (OBB)

## Download

Download a specific dataset using the Hugging Face CLI:
```
hf download VisionXLab/RSDet-datasets \
  --include "your_dataset/**" \
  --local-dir /your/local/dir \
  --repo-type dataset
```
Replace your_dataset with the name of the dataset you want to download.

## Dataset Structure

Each dataset directory includes a `README.md`, either in the dataset root or its `process/` directory, describing the directory structure and preprocessing details when applicable. 

Preprocessing code is also provided to convert the original annotations into the unified:
* DOTA-style TXT
* COCO JSON
  
Small processed examples for both annotation formats are provided under processed_meta/ for quick inspection.
<p align="center">
  <img src="DIOR/processed_meta/vis_hbb_obb/16604.jpg" width="600">
</p>

## Citation
If you find RSDet-datasets useful in your research, please consider citing this repository:
```
@misc{visionxlab2026rsdetdatasets,
      title = {RSDet-datasets: A Collection of Remote Sensing Object Detection Datasets},
      author = {Shuran Ma and Qingyun Li and Xue Yang},
      year = {2026},
      publisher = {VisionXLab},
      url = {https://huggingface.co/datasets/VisionXLab/RSDet-datasets}}
```