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"}

显示名称：DOTA v1.5
许可协议：
- DOTA_V1.5 自定义许可
任务类型：
- 旋转目标检测（Rotated-ObjectDetection）
媒体类型：
- 图像（Image）
标注类型：
- 2D边界框（Box2D）
- 多边形（Polygon）
标签：
- 属性为空，ID为133，名称的英文为Airplanes、中文为飞机
发布机构：
- 武汉大学
- 康奈尔大学
- 华中科技大学
发布日期：2019年3月1日
发布网址：https://captain-whu.github.io/DOAI2019/dataset.html
论文网址：无

---

## 数据集简介
DOTA-v1.5 采用与 DOTA-v1.0 完全一致的图像素材，同时新增了对尺寸小于10像素的极小目标实例的标注，并追加了全新类别「集装箱起重机」。该数据集总计包含403318个目标实例，图像总量与数据集划分规则均与DOTA-v1.0保持统一。本数据集于2019年与IEEE CVPR 2019会议同步发布，用于DOAI 2019航空图像目标检测挑战赛。

## 类别定义

飞机
船舶
储油罐
棒球菱形场地
网球场
篮球场
田径场
港口
桥梁
大型车辆
小型车辆
直升机
环岛
足球场
游泳池
集装箱起重机

## 引用文献

@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}
}

## 数据集下载
:modelscope-code[]{type="git"}