The document discusses using machine learning to recognize different knitting stitch patterns from images of knitted fabrics. It outlines the steps needed to build a machine learning model for this task, including gathering a dataset of knitting images, manually labeling the images with their stitch patterns, training a model on the labeled data, deploying the trained model, and building a web interface for the model to analyze new images. It describes initial training results and plans to expand the dataset and further improve the model's accuracy through additional training.
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