/ROVer-Optometry-Underwater-Object-Detection

The members in this team will learn the basics of image classification to then be immediately thrown into the ringer to train a model that can detect certain types of objects under various measures of turbid water by utilizing CNNs (Convolutional neural networks) such as YOLO or MobileNet.

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