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Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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Multiclass Semantic Segmentation using Tensorflow 2 GPU on the Cambridge-driving Labeled Video Database (CamVid)

This repository contains implementations of multiple deep learning models (U-Net, FCN32 and SegNet) for multiclass semantic segmentation of the CamVid dataset

  • Implemented tensorflow 2.0 Aplha GPU package
  • Contains generalized computer vision project directory creation and image processing pipeline for image classification/detection/segmentation

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Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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python tensorflow keras image-processing segmentation fcn image-segmentation unet segnet semantic-segmentation camvid-dataset unet-image-segmentation camvid tensorflow-2

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