GitHub - Christiaan2/Carvana-Image-Masking-Challenge---Submission-1: U-net implementation (depth = 6). The network was trained with a resolution of 640x960 (RGB) and data-augmentation was used during training. Training was stopped until dice coefficient on validation set (20% of total train data) didn't improve anymore. Best weights are used. Dice score: 0.99547 (private leaderboard)

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U-net implementation (depth = 6). The network was trained with a resolution of 640x960 (RGB) and data-augmentation was used during training. Training was stopped until dice coefficient on validation set (20% of total train data) didn't improve anymore. Best weights are used. Dice score: 0.99547 (private leaderboard)

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Carvana_Image_Masking_Challenge_submission_1_(complete).ipynb		Carvana_Image_Masking_Challenge_submission_1_(complete).ipynb