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Skeggøx: Automatic Scoring for Accuracy of Thrown Axes

Visually judging the location of an objects position is a difficult challenge and one that is fraught with heuristics and human error. Skeggøx aims to be an automated machine learning computer-vision based approach which will automatically score a users thrown axe against a regulation board, and eliminate any ambiguities in points scored.

Full description of our implementation is available in our Publication.pdf file.

A summary presentation is available in our Final Presentation.pdf file.

Data

Our dataset is available for download here: https://berkeley.box.com/s/cc8ljt3e3ag24kp2739s7zv09zllpnaj