---
title: DOTA_V1_dot_5
canonical_url: "https://www.modelscope.cn/datasets/OmniData/DOTA_V1_dot_5"
md_url: "https://www.modelscope.cn/datasets/OmniData/DOTA_V1_dot_5.md"
repository: OmniData/DOTA_V1_dot_5
last_updated: 2024-07-14
license: "[DOTA_V1.5 Custom]"
storage_size: "19 GB"
domain:
  - publishDate
  - displayName
  - publishUrl
  - publisher
  - mediaTypes
  - labelTypes
  - taskTypes
tasks:
  - 2019-03-01
  - "DOTA v1.5"
  - "https://captain-whu.github.io/DOAI2019/dataset.html"
  - "Huazhong University of Science and Technology"
  - Image
  - Polygon
  - Rotated-ObjectDetection
downloads: 264
stars: 0
---

# DOTA_V1_dot_5

> DOTA_V1_dot_5 - OmniData 在 ModelScope 开源的数据集。displayName: DOTA v1.5 license: DOTAV1.5 Custom taskTypes: Rotated-ObjectDetection mediaTypes: Image labelTypes: Box2D Polygon tags: attrs: null id: 133 name: en: Airplanes zh: 飞机 publisher: Wuhan University…

OmniData/DOTA_V1_dot_5 是 ModelScope 魔搭社区上的2019-03-01、DOTA v1.5、https://captain-whu.github.io/DOAI2019/dataset.html数据集，涉及 publishDate、displayName、publishUrl 领域，存储大小 19 GB，采用 [DOTA_V1.5 Custom] 许可。

- **Repository**: OmniData/DOTA_V1_dot_5
- **License**: [DOTA_V1.5 Custom]
- **Tasks**: 2019-03-01, DOTA v1.5, https://captain-whu.github.io/DOAI2019/dataset.html, Huazhong University of Science and Technology, Image, Polygon, Rotated-ObjectDetection
- **Domain**: publishDate, displayName, publishUrl, publisher, mediaTypes, labelTypes, taskTypes
- **Storage size**: 19 GB
- **Downloads**: 264
- **Stars**: 0
- **Last updated**: 2024-07-14

Source: https://www.modelscope.cn/datasets/OmniData/DOTA_V1_dot_5

---

displayName: DOTA v1.5
license:
  - DOTA_V1.5 Custom
taskTypes:
  - Rotated-ObjectDetection
mediaTypes:
  - Image
labelTypes:
  - Box2D
  - Polygon
tags:
  - attrs: null
    id: 133
    name:
      en: Airplanes
      zh: 飞机
publisher:
  - Wuhan University
  - Cornell University
  - Huazhong University of Science and Technology
publishDate: '2019-03-01'
publishUrl: https://captain-whu.github.io/DOAI2019/dataset.html
paperUrl: ''

---
  ## 简介
  DOTA-v1.5 使用与 DOTA-v1.0 相同的图像，但对极小的实例（小于 10 像素）也进行了标注。此外，还增加了一个新类别“集装箱起重机”。它总共包含 403,318 个实例。图像数量和数据集拆分与 DOTA-v1.0 相同。该版本与 IEEE CVPR 2019 联合发布，用于 DOAI 挑战 2019 航空图像中的目标检测。
  ## 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
container crane
```
  ## 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"}