bhabha-kapil/Dartboard-Detection-DatasetDartboard 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 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 Di…

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Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.

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