forklift-object-detection

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

### Dataset Labels

```
['forklift', 'person']
```

### Number of Images

```json
{'test': 42, 'valid': 84, 'train': 295}
```

### 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/forklift-object-detection", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1](https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1?ref=roboflow2huggingface)

### Citation

```
@misc{ forklift-dsitv_dataset,
title = { Forklift Dataset },
type = { Open Source Dataset },
author = { Mohamed Traore },
howpublished = { \\url{ https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv } },
url = { https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2023-01-15 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.ai on April 3, 2022 at 9:01 PM GMT

It includes 421 images.
Forklift are annotated in COCO format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)

No image augmentation techniques were applied.

<div align="center">
<img width="640" alt="keremberke/叉车（forklift）目标检测数据集" src="https://huggingface.co/datasets/keremberke/forklift-object-detection/resolve/main/thumbnail.jpg">
</div>

### 数据集标签

['叉车（forklift）', '行人（person）']

### 图像数量
json
{'test': 42, 'valid': 84, 'train': 295}

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

- 加载数据集：
python
from datasets import load_dataset

ds = load_dataset("keremberke/forklift-object-detection", name="full")
example = ds['train'][0]

### Roboflow 数据集页面
[https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1](https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1?ref=roboflow2huggingface)

### 引用格式

@misc{ forklift-dsitv_dataset,
title = { 叉车（forklift）数据集 },
type = { 开源数据集 },
author = { Mohamed Traore },
howpublished = { \url{ https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv } },
url = { https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { 3月 },
note = { 访问日期：2023年1月15日 },
}

### 许可证
CC BY 4.0

### 数据集概述
本数据集于2022年4月3日格林威治标准时间21:01通过roboflow.ai平台导出，共计包含421张图像。数据集中的叉车（forklift）与行人（person）均采用COCO格式进行标注。所有图像均经过如下预处理操作：自动校正像素数据方向（移除EXIF方向元信息），未应用任何图像增强技术。