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Non-descriptive Frisbee Statistics

Non-descriptive frisbee stats

A computer vision model that takes in streamed games and outputs a player statistic that factors in non-descriptive events — i.e. giving the correct call at the correct time, or poaching in the lane to force a bad throw.

I expect this to be trained using a transformer and written in Python. It is inspired by Andrew Wood's analytical Ultimate dream.

Optical Character Recognition

OCR

This was one of the first times I fell in love with Machine Learning, without knowing that the magic came from Machine Learning methods.

I simply had a `pdf` file with handwritten or scanned text, and desperately wanted to find something within the document without having to do it manually.

I google online for an OCR; upload my file; download it back again, and hey presto — such magical, accurate results!

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