clash-of-clans-object-detection
收藏魔搭社区2025-10-17 更新2025-11-08 收录
下载链接:
https://modelscope.cn/datasets/keremberke/clash-of-clans-object-detection
下载链接
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资源简介:
<div align="center">
<img width="640" alt="keremberke/clash-of-clans-object-detection" src="https://huggingface.co/datasets/keremberke/clash-of-clans-object-detection/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['ad', 'airsweeper', 'bombtower', 'canon', 'clancastle', 'eagle', 'inferno', 'kingpad', 'mortar', 'queenpad', 'rcpad', 'scattershot', 'th13', 'wardenpad', 'wizztower', 'xbow']
```
### Number of Images
```json
{'train': 88, 'test': 13, 'valid': 24}
```
### 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/clash-of-clans-object-detection", name="full")
example = ds['train'][0]
```
### Roboflow Dataset Page
[https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y/dataset/5](https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y/dataset/5?ref=roboflow2huggingface?ref=roboflow2huggingface)
### Citation
```
@misc{ clash-of-clans-vop4y_dataset,
title = { Clash of Clans Dataset },
type = { Open Source Dataset },
author = { Find This Base },
howpublished = { \\url{ https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y } },
url = { https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { feb },
note = { visited on 2023-01-18 },
}
```
### License
CC BY 4.0
### Dataset Summary
This dataset was exported via roboflow.ai on March 30, 2022 at 4:31 PM GMT
It includes 125 images.
CoC are annotated in COCO format.
The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 1920x1920 (Fit (black edges))
No image augmentation techniques were applied.
<div align="center">
<img width="640" alt="keremberke/clash-of-clans-object-detection" src="https://huggingface.co/datasets/keremberke/clash-of-clans-object-detection/resolve/main/thumbnail.jpg">
</div>
### 数据集标签
['ad(防空炮)', 'airsweeper(空中清道夫)', 'bombtower(炸弹塔)', 'canon(加农炮)', 'clancastle(部落城堡)', 'eagle(天鹰火炮)', 'inferno(地狱塔)', 'kingpad(蛮王祭坛)', 'mortar(迫击炮)', 'queenpad(女王祭坛)', 'rcpad(猎手祭坛)', 'scattershot(多重加农炮)', 'th13(13本大本营)', 'wardenpad(大守护者祭坛)', 'wizztower(法师塔)', 'xbow(X连弩)']
### 图像数量
json
{'train': 88, 'test': 13, 'valid': 24}
> 注:该数据集训练集含88张图像,测试集13张,验证集24张,总计125张。
### 使用方法
- 安装[datasets](https://pypi.org/project/datasets/)库:
bash
pip install datasets
- 加载数据集:
python
from datasets import load_dataset
ds = load_dataset("keremberke/clash-of-clans-object-detection", name="full")
example = ds['train'][0]
### Roboflow数据集页面
[https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y/dataset/5](https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y/dataset/5?ref=roboflow2huggingface?ref=roboflow2huggingface)
### 引用格式
bibtex
@misc{ clash-of-clans-vop4y_dataset,
title = { 部落冲突数据集 },
type = { 开源数据集 },
author = { Find This Base },
howpublished = { url{ https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y } },
url = { https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { 2月 },
note = { 于2023年1月18日访问 },
}
### 许可证
CC BY 4.0(知识共享署名4.0国际许可协议)
### 数据集概述
本数据集于2022年3月30日格林尼治标准时间下午4点31分通过roboflow.ai导出,总计包含125张图像。
部落冲突(Clash of Clans,简称CoC)相关目标采用COCO格式进行标注。
已对每张图像应用以下预处理操作:
* 自动调整像素数据方向(去除EXIF方向信息)
* 将图像尺寸调整为1920×1920(保留画幅比例,添加黑边填充)
未应用任何图像增强技术。
提供机构:
maas
创建时间:
2025-10-15



