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Currently under development, this project is a work in progress. Please check back later for updates.

Single Camera automated darts scoring using keypoint detection

The project aims to detect dart scores by using a yolo v11 keypose model on a single camera image to predict the score of the thrown darts. 4 Keypoints on the dartboard, the darts tip and flight are detected.

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After detecting the keypoints, the 4 dartboard keypoints are used to apply a perspective transform to warp the perspective in a top down view. With the warped points of the dart tips the score of the dart can easily be calculated by their distance to the center and their angle.

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Training

To see how to train your own model and how to prepare and create a dataset, refer to Train Instructions

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Single Camera automated darts scoring using keypoint detection

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