Multiclass Semantic Segmentation CamVid Save Abandoned
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
Open Source Agenda is not affiliated with "Multiclass Semantic Segmentation CamVid" Project. README Source: advaitsave/Multiclass-Semantic-Segmentation-CamVid
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