satellite-building-segmentation

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

### Dataset Labels

```
['building']
```

### Number of Images

```json
{'train': 6764, 'valid': 1934, 'test': 967}
```

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

### Roboflow Dataset Page
[https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1](https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1?ref=roboflow2huggingface)

### Citation

```
@misc{ buildings-instance-segmentation_dataset,
title = { Buildings Instance Segmentation Dataset },
type = { Open Source Dataset },
author = { Roboflow Universe Projects },
howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation } },
url = { https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2023-01-18 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on January 16, 2023 at 9:09 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 9665 images.
Buildings 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/satellite-building-segmentation" src="https://huggingface.co/datasets/keremberke/satellite-building-segmentation/resolve/main/thumbnail.jpg">
</div>

### 数据集标签

['建筑物']

### 图像数量

json
{"训练集": 6764, "验证集": 1934, "测试集": 967}

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

### Roboflow 数据集页面
[https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1](https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1?ref=roboflow2huggingface)

### 引用格式

@misc{ buildings-instance-segmentation_dataset,
title = { 建筑物实例分割数据集 },
type = { 开源数据集 },
author = { Roboflow 宇宙项目团队 },
howpublished = { url{ https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation } },
url = { https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation },
journal = { Roboflow 宇宙 },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { 2023年1月18日访问 },
}

### 许可证
CC BY 4.0

### 数据集概览
本数据集于2023年1月16日格林尼治标准时间21:09通过roboflow.com导出。

Roboflow是一款端到端的计算机视觉平台，可协助您完成以下工作：
* 与团队协同开展计算机视觉项目
* 收集并整理图像素材
* 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

如需获取可配合本数据集使用的前沿计算机视觉训练脚本，请访问 https://github.com/roboflow/notebooks

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

本数据集共计包含9665张图像。
建筑物标注采用COCO（Common Objects in Context）格式。

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（移除EXIF方向信息）

未使用任何图像增强技术。