Handtracking
Machine Learning Model TrainingML Frameworks

Handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

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This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) dataset. I was interested mainly in detecting hands on a table (egocentric view point). I experimented first with the Oxford Hands Dataset (the results were not good). I then tried the Egohands Dataset which was a much better fit to my requirements.

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