pothole-segmentation

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

### Dataset Labels

```
['pothole']
```

### Number of Images

```json
{'test': 5, 'train': 80, 'valid': 5}
```

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

### Roboflow Dataset Page
[https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9/dataset/4](https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9/dataset/4?ref=roboflow2huggingface)

### Citation

```
@misc{ pothole-detection-irkz9_dataset,
title = { Pothole Detection Dataset },
type = { Open Source Dataset },
author = { IMACS Pothole Detection },
howpublished = { \\url{ https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9 } },
url = { https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2023-01-15 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on January 15, 2023 at 6:38 PM GMT

Roboflow is an end-to-end computer vision platform that helps you
* collaborate with your team on computer vision projects
* collect & organize images
* understand and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

The dataset includes 90 images.
Pothole 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/路面坑洞分割" src="https://huggingface.co/datasets/keremberke/pothole-segmentation/resolve/main/thumbnail.jpg">
</div>

### 数据集标签

['路面坑洞（pothole）']

### 图像数量

json
{'测试集': 5, '训练集': 80, '验证集': 5}

### 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/pothole-segmentation", name="full")
example = ds['train'][0]

### Roboflow 数据集页面

[https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9/dataset/4](https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9?ref=roboflow2huggingface)

### 引用信息

@misc{ pothole-detection-irkz9_dataset,
title = { 路面坑洞检测数据集 },
type = { 开源数据集 },
author = { IMACS 路面坑洞检测团队 },
howpublished = { url{ https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9 } },
url = { https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { 2023年1月15日访问 },
}

### 许可证

CC BY 4.0

### 数据集概览

本数据集于2023年1月15日格林尼治标准时间下午6点38分通过roboflow.com导出。

Roboflow是一款端到端的计算机视觉平台，可助力您完成以下工作：
* 与团队协作开展计算机视觉项目
* 收集并整理图像数据
* 理解并检索非结构化图像数据
* 进行标注并构建数据集
* 导出、训练并部署计算机视觉模型
* 运用主动学习技术随时间迭代优化数据集

如需使用适配本数据集的前沿计算机视觉训练笔记，请访问 https://github.com/roboflow/notebooks

如需查找超过10万个其他数据集与预训练模型，请访问 https://universe.roboflow.com

本数据集共包含90张图像，所有路面坑洞均采用COCO格式（Common Objects in Context）进行标注。

已对每张图像执行以下预处理操作：未应用任何图像增强技术。