plane-detection
收藏魔搭社区2026-01-09 更新2025-11-03 收录
下载链接:
https://modelscope.cn/datasets/keremberke/plane-detection
下载链接
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资源简介:
<div align="center">
<img width="640" alt="keremberke/plane-detection" src="https://huggingface.co/datasets/keremberke/plane-detection/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['planes']
```
### Number of Images
```json
{'test': 25, 'valid': 50, 'train': 175}
```
### How to Use
- Install [datasets](https://pypi.org/project/datasets/):
```bash
pip install datasets
```
- Load the dataset:
```python
from datasets import load_dataset
ds = load_dataset("keremberke/plane-detection", name="full")
example = ds['train'][0]
```
### Roboflow Dataset Page
[https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4](https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4?ref=roboflow2huggingface)
### Citation
```
@misc{ overhead-plane-detector_dataset,
title = { Overhead Plane Detector Dataset },
type = { Open Source Dataset },
author = { SkyBot Cam },
howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jan },
note = { visited on 2023-01-27 },
}
```
### License
CC BY 4.0
### Dataset Summary
This dataset was exported via roboflow.ai on March 30, 2022 at 3:11 PM GMT
It includes 250 images.
Planes are annotated in COCO format.
The following pre-processing was applied to each image:
No image augmentation techniques were applied.
<div align="center">
<img width="640" alt="keremberke/plane-detection" src="https://huggingface.co/datasets/keremberke/plane-detection/resolve/main/thumbnail.jpg">
</div>
### 数据集标签
['飞机']
### 图像数量
json
{'测试集': 25, '验证集': 50, '训练集': 175}
### 使用方法
- 安装[datasets库](https://pypi.org/project/datasets/):
bash
pip install datasets
- 加载数据集:
python
from datasets import load_dataset
ds = load_dataset("keremberke/plane-detection", name="full")
example = ds['train'][0]
### Roboflow 数据集页面
[https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4](https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4?ref=roboflow2huggingface)
### 引用格式
@misc{ overhead-plane-detector_dataset,
title = { 头顶飞机检测数据集 },
type = { 开源数据集 },
author = { SkyBot Cam },
howpublished = { url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { 1月 },
note = { 于2023年1月27日访问 },
}
### 许可证
CC BY 4.0
### 数据集概述
本数据集于2022年3月30日格林尼治标准时间15:11通过roboflow.ai导出,总计包含250张图像。所有飞机目标均采用COCO格式进行标注。已对每张图像执行如下预处理操作:未应用任何图像增强手段。
提供机构:
maas
创建时间:
2025-10-03



