bhabha-kapil/Dartboard-Detection-Dataset

---

language:

- en

tags:
- computer-vision
- image-dataset
- dartboard
- object-detection
- pytorch
- rust
pretty_name: Dartboard Detection Dataset
license: mit
size_categories:
- unknown
---

# Dartboard Detection Dataset

A curated dartboard image dataset for computer vision tasks such as detection, recognition, localization, and model training.

This dataset is used in my dartboard AI projects built with **Rust** and **PyTorch**. Anyone can use this dataset to train, test, or improve their own models for dartboard-related computer vision tasks.

## About

This dataset contains cropped dartboard images organized in folders by capture sessions and dates. It is intended for training and evaluating machine learning and deep learning models.

This dataset can be useful for:

- dartboard detection
- dartboard recognition
- localization tasks
- scoring-related computer vision pipelines
- custom AI model training

## Folder Structure

```text
images/
└── 800/
├── d1_02_04_2020/
├── d1_02_06_2020/
├── d1_02_10_2020/
└──...
```

## Related Projects

### RustAutoScoreEngine
Rust-based dartboard scoring and automation project.
Repository: [RustAutoScoreEngine](https://github.com/iambhabha/RustAutoScoreEngine)

### Dart-Vision
PyTorch-based training and computer vision project for dartboard detection and related workflows.
Repository: [Dart-Vision](https://github.com/iambhabha/Dart-Vision)

## Who Can Use This

This dataset is suitable for:

- developers working on dartboard AI
- researchers building custom detection models
- PyTorch users training computer vision pipelines
- Rust developers integrating AI/vision workflows

## Disclaimer

Please review the dataset structure and preprocess it as needed for your specific task, training setup, or model architecture.

## Author

[Bhabha](https://github.com/iambhabha)

language:

- 英语

tags:
- 计算机视觉
- 图像数据集
- 飞镖靶
- 目标检测
- PyTorch
- Rust
pretty_name: 飞镖靶检测数据集
license: MIT许可证
size_categories:
- 未知
---

# 飞镖靶检测数据集

这是一份经过精心整理的飞镖靶图像数据集，可用于目标检测、图像识别、目标定位以及模型训练等各类计算机视觉任务。

本数据集已应用于笔者基于**Rust**和**PyTorch**开发的飞镖靶AI项目中。任何人均可使用该数据集来训练、测试或优化自身用于飞镖靶相关计算机视觉任务的模型。

## 关于

本数据集包含裁剪后的飞镖靶图像，按照拍摄会话与日期进行文件夹分类，旨在用于机器学习与深度学习模型的训练与评估。

本数据集可应用于以下场景：

- 飞镖靶检测
- 飞镖靶识别
- 目标定位任务
- 与计分相关的计算机视觉流水线
- 自定义AI模型训练

## 文件夹结构

text
images/
└── 800/
├── d1_02_04_2020/
├── d1_02_06_2020/
├── d1_02_10_2020/
└──...

## 相关项目

### RustAutoScoreEngine
基于Rust的飞镖靶计分与自动化项目。
仓库地址：[RustAutoScoreEngine](https://github.com/iambhabha/RustAutoScoreEngine)

### Dart-Vision
基于PyTorch的飞镖靶检测及相关工作流的训练与计算机视觉项目。
仓库地址：[Dart-Vision](https://github.com/iambhabha/Dart-Vision)

## 适用人群

本数据集适用于以下人群：

- 开发飞镖靶AI的开发者
- 构建自定义检测模型的研究人员
- 训练计算机视觉流水线的PyTorch用户
- 集成AI/视觉工作流的Rust开发者

## 免责声明

请根据您的特定任务、训练配置或模型架构，自行审阅数据集结构并按需进行预处理。

## 作者

[Bhabha](https://github.com/iambhabha)