excavator-detector

<div align="center">
<img width="640" alt="keremberke/excavator-detector" src="https://huggingface.co/datasets/keremberke/excavator-detector/resolve/main/thumbnail.jpg">
</div>

### Dataset Labels

```
['excavators', 'dump truck', 'wheel loader']
```

### Number of Images

```json
{'test': 144, 'train': 2245, 'valid': 267}
```

### 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/excavator-detector", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0/dataset/3](https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0/dataset/3?ref=roboflow2huggingface)

### Citation

```
@misc{ excavators-cwlh0_dataset,
title = { Excavators Dataset },
type = { Open Source Dataset },
author = { Mohamed Sabek },
howpublished = { \\url{ https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 } },
url = { https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2023-01-16 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.ai on April 4, 2022 at 8:56 AM GMT

It includes 2656 images.
Excavator 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 640x640 (Stretch)

No image augmentation techniques were applied.

<div align="center">
<img width="640" alt="keremberke/excavator-detector" src="https://huggingface.co/datasets/keremberke/excavator-detector/resolve/main/thumbnail.jpg">
</div>

### 数据集标签

['挖掘机（excavators）', '自卸卡车（dump truck）', '轮式装载机（wheel loader）']

### 图像数量
json
{'测试集（test）': 144, '训练集（train）': 2245, '验证集（valid）': 267}

### 使用方法
- 安装数据集（datasets）库：
bash
pip install datasets

加载数据集的示例代码如下：
python
from datasets import load_dataset

ds = load_dataset("keremberke/excavator-detector", name="full")
example = ds['train'][0]

### Roboflow 数据集页面
[https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0/dataset/3](https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0/dataset/3?ref=roboflow2huggingface)

### 引用格式

@misc{ excavators-cwlh0_dataset,
title = { 挖掘机数据集 },
type = { 开源数据集 },
author = { Mohamed Sabek },
howpublished = { url{ https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 } },
url = { https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 },
journal = { Roboflow 开源数据集社区 },
publisher = { Roboflow },
year = { 2022 },
month = { 11月 },
note = { 2023年1月16日访问 }
}

### 许可证
CC BY 4.0

### 数据集概述
本数据集于2022年4月4日格林尼治标准时间上午8:56通过roboflow.ai导出，总计包含2656张图像。相关目标采用COCO格式进行标注。

已对每张图像执行以下预处理操作：
* 自动调整像素数据方向（剥离EXIF方向元信息）
* 拉伸缩放至640×640分辨率

未使用任何图像增强技术。