---
title: DOTA_V1_dot_0
canonical_url: "https://www.modelscope.cn/datasets/OmniData/DOTA_V1_dot_0"
md_url: "https://www.modelscope.cn/datasets/OmniData/DOTA_V1_dot_0.md"
repository: OmniData/DOTA_V1_dot_0
last_updated: 2024-07-14
license: "[DOTA_V1.0 Custom]"
storage_size: "19 GB"
domain:
  - publishDate
  - displayName
  - publishUrl
  - publisher
  - mediaTypes
  - labelTypes
  - taskTypes
tasks:
  - 2018-01-01
  - "DOTA v1.0"
  - "https://captain-whu.github.io/DOTA/index.html"
  - "Huazhong University of Science and Technology"
  - Image
  - Polygon
  - Rotated-ObjectDetection
downloads: 118
stars: 0
---

# DOTA_V1_dot_0

> DOTA_V1_dot_0 - OmniData 在 ModelScope 开源的数据集。displayName: DOTA v1.0 labelTypes: Box2D Polygon license: DOTAV1.0 Custom mediaTypes: Image paperUrl: "" publishDate: "2018-01-01" publishUrl: https://captain-whu.github.io/DOTA/index.html publisher: Wuhan…

OmniData/DOTA_V1_dot_0 是 ModelScope 魔搭社区上的2018-01-01、DOTA v1.0、https://captain-whu.github.io/DOTA/index.html数据集，涉及 publishDate、displayName、publishUrl 领域，存储大小 19 GB，采用 [DOTA_V1.0 Custom] 许可。

- **Repository**: OmniData/DOTA_V1_dot_0
- **License**: [DOTA_V1.0 Custom]
- **Tasks**: 2018-01-01, DOTA v1.0, https://captain-whu.github.io/DOTA/index.html, Huazhong University of Science and Technology, Image, Polygon, Rotated-ObjectDetection
- **Domain**: publishDate, displayName, publishUrl, publisher, mediaTypes, labelTypes, taskTypes
- **Storage size**: 19 GB
- **Downloads**: 118
- **Stars**: 0
- **Last updated**: 2024-07-14

Source: https://www.modelscope.cn/datasets/OmniData/DOTA_V1_dot_0

---

displayName: DOTA v1.0
labelTypes:
- Box2D
- Polygon
license:
- DOTA_V1.0 Custom
mediaTypes:
- Image
paperUrl: ""
publishDate: "2018-01-01"
publishUrl: https://captain-whu.github.io/DOTA/index.html
publisher:
- Wuhan University
- Cornell University
- Huazhong University of Science and Technology
tags: []
taskTypes:
- Rotated-ObjectDetection

---
  ## 简介
  DOTA-v1.0 包含 15 个常用类别、2806 张图片和 188、282 个实例。 DOTA-v1.0 中训练集、验证集和测试集的比例分别为 1/2、1/6 和 1/3。
  ## 类定义
  ```
plane
ship
storage tank
baseball diamond
tennis court
basketball court
ground track field
harbor
bridge
large vehicle
small vehicle
helicopter
roundabout
soccer ball field
swimming pool
```
  ## 引文
  ```
@misc{ding2021object,
title={Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges},
author={Jian Ding and Nan Xue and Gui-Song Xia and Xiang Bai and Wen Yang and Micheal Ying Yang and Serge Belongie and Jiebo Luo and Mihai Datcu and Marcello Pelillo and Liangpei Zhang},
year={2021},
eprint={2102.12219},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@InProceedings{Xia_2018_CVPR,
author = {Xia, Gui-Song and Bai, Xiang and Ding, Jian and Zhu, Zhen and Belongie, Serge and Luo, Jiebo and Datcu, Mihai and Pelillo, Marcello and Zhang, Liangpei},
title = {DOTA: A Large-Scale Dataset for Object Detection in Aerial Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
@InProceedings{Ding_2019_CVPR,
author = {Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu},
title = {Learning RoI Transformer for Detecting Oriented Objects in Aerial Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}