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Pascal-VOC12_Class-segmentation_Tensorflow-2.0.0

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Convolutional Neural Networks: (1) based on UNet; (2) FCN8 for Image Segmentation of Pascal VOC 2012 dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.

deep-learning fcn8s image-segmentation keras tensorflow-2 tfrecords unet

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Name		Name	Last commit message	Last commit date
callbacks		callbacks
models		models
.gitignore		.gitignore
AbstractModel.py		AbstractModel.py
LICENSE		LICENSE
README.md		README.md
VOClabelcolormap.py		VOClabelcolormap.py
common.py		common.py
constants.py		constants.py
initialize.sh		initialize.sh
requirements.txt		requirements.txt
run.sh		run.sh
sets_count.pickle		sets_count.pickle
tfrecords_generator.py		tfrecords_generator.py
tfrecords_test.py		tfrecords_test.py
train.py		train.py

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U-Net architecture implementation for Pascal VOC12 Segmentation challenge

project implemented as part of the Deep Learning course attended on MSc degree in *Artificial Intelligence at the Barcelona School of Informatics in Polytechnic University of Catalonia,
written in TensorFlow r2.0.0.

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About

Convolutional Neural Networks: (1) based on UNet; (2) FCN8 for Image Segmentation of Pascal VOC 2012 dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.

deep-learning fcn8s image-segmentation keras tensorflow-2 tfrecords unet

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