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Vipoooool samir bhattarai work python developer at honest forwarder technology date_range joined 7 years ago · last seen a year ago about datasets (1) code (3) discussion (8) followers (48) following (2) Input_image = tf.image.resize(datapoint['image'], (128, 128)) input_mask = tf.image.resize(datapoint['segmentation_mask'], (128, 128)) input_image, input_mask = normalize(input_image, input_mask) return input_image, input_mask Parkhi, andrea vedaldi, andrew zisserman, and c
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Key techniques like data augmentation, learning rate scheduling, and early stopping were crucial in achieving accurate and efficient training. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Explore and run machine learning code with kaggle notebooks | using data from no attached data sources
Table of contents image segmentation on oxford_iiit_pet dataset pet image segmentor model saving
A 37 category pet dataset with roughly 200 images for each class
