An object location for Brazilian boards, based in U-Net Segmentation using pre-trainded weights VGG16. For validation of the model, the Dice coefficient was used, in which it obtained 0.8088, which we can say that hit 80% of the expected location.
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Object localization in plateBR using u-net and pre-trained weights VGG16
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