/Multiclass-Semantic-Segmentation-CamVid

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.

Primary LanguageJupyter Notebook

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