Image Rotation Correction through a Neural Network

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My project is a microsite on the Wolfram Cloud. One can upload an image that is offset by 0, 90, 180, or 270 degrees and have it rotated back to its upright orientation. The project implements a neural network which trained the program and makes the correction as accurate as possible. The data used includes about 130,000 images for training, and the program is about 90 percent accurate. HTML was also used to create a ”results” page that is both visually appealing and similar to the upload page. In the future, I hope to train more data to allow the program to correct images in smaller increments and to add more functionality for doing things with the pictures.

 

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Bonnier Digital FOTO
Bonnier Publications
Utgiver: Anna Rading Ploman
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