A convolutional neural network built on pretrained models such as ResNet50 by transfer learning to classify images of feet into three categories - Flat, Medium Arc, High Arc. Dataset was provided by a company called MyFootDoctor in a hackathon to automate the process of analyzing feet defects. Accuracy of approx 80% was achieved w/biased dataset.
active 2024-01-23 → 2024-11-01 (UTC)
Activity over time
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Line chart, 284 days from 2024-01-23 to 2024-11-01. Pushes: 5 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 2 in a day. Comments: 2 total, peak 2 in a day. Stars: 0 total, peak 0 in a day.
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.