bhabha-kapil/Dartboard-Detection-Dataset

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

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

Dart-Vision

PyTorch-based training and computer vision project for dartboard detection and related workflows.
Repository: 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