nfl-object-detection

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

### Dataset Labels

```
['helmet', 'helmet-blurred', 'helmet-difficult', 'helmet-partial', 'helmet-sideline']
```

### Number of Images

```json
{'valid': 1989, 'train': 6963, 'test': 995}
```

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

### Roboflow Dataset Page
[https://universe.roboflow.com/home-mxzv1/nfl-competition/dataset/1](https://universe.roboflow.com/home-mxzv1/nfl-competition/dataset/1?ref=roboflow2huggingface?ref=roboflow2huggingface)

### Citation

```
@misc{ nfl-competition_dataset,
title = { NFL-competition Dataset },
type = { Open Source Dataset },
author = { home },
howpublished = { \\url{ https://universe.roboflow.com/home-mxzv1/nfl-competition } },
url = { https://universe.roboflow.com/home-mxzv1/nfl-competition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2023-01-18 },
}
```

### License
Public Domain

### Dataset Summary
This dataset was exported via roboflow.com on December 29, 2022 at 8:12 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 unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

It includes 9947 images.
Helmets 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 1280x720 (Stretch)

No image augmentation techniques were applied.

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

### 数据集标签

['橄榄球头盔（helmet）', '模糊橄榄球头盔（helmet-blurred）', '难识别橄榄球头盔（helmet-difficult）', '部分可见橄榄球头盔（helmet-partial）', '边线区域橄榄球头盔（helmet-sideline）']

### 图像数量
json
{"valid（验证集）": 1989, "train（训练集）": 6963, "test（测试集）": 995}

### 使用方法
- 安装[datasets库（datasets）](https://pypi.org/project/datasets/)：
bash
pip install datasets

- 加载数据集：
python
from datasets import load_dataset

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

### Roboflow 数据集页面
[https://universe.roboflow.com/home-mxzv1/nfl-competition/dataset/1](https://universe.roboflow.com/home-mxzv1/nfl-competition/dataset/1?ref=roboflow2huggingface?ref=roboflow2huggingface)

### 引用格式

@misc{ nfl-competition_dataset,
title = { NFL-competition 数据集 },
type = { 开源数据集 },
author = { home },
howpublished = { url{ https://universe.roboflow.com/home-mxzv1/nfl-competition } },
url = { https://universe.roboflow.com/home-mxzv1/nfl-competition },
journal = { Roboflow 宇宙 },
publisher = { Roboflow },
year = { 2022 },
month = { 九月 },
note = { 于2023年1月18日访问 },
}

### 许可证
公共领域（Public Domain）

### 数据集概述
本数据集于2022年12月29日格林威治标准时间20:12通过roboflow.com导出。

Roboflow是一款端到端的计算机视觉平台，可协助用户完成以下工作：
* 与团队协作开展计算机视觉项目
* 收集并整理图像数据
* 解析非结构化图像数据
* 进行图像标注并构建数据集
* 导出、训练并部署计算机视觉模型
* 使用主动学习功能随时间迭代优化数据集

本数据集共包含9947张图像，所有目标对象均以橄榄球头盔（helmet）为核心类别，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：
* 自动调整像素数据方向（移除EXIF方向信息）
* 拉伸调整至1280×720分辨率

未应用任何图像增强技术。