# segnet

**Repository Path**: Cheng_Loon/segnet

## Basic Information

- **Project Name**: segnet
- **Description**: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-26
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Segnet is deep fully convolutional neural network architecture for semantic pixel-wise segmentation. This is implementation of http://arxiv.org/pdf/1511.00561v2.pdf (Except for the Upsampling layer where paper uses indices based upsampling which is not implemented in keras yet( *I am working on it*), but that shouldnt make a lot of difference). You can directly download the code from https://github.com/preddy5/segnet. This post is a explaination of what is happening in the code.

http://preddy5.github.io/2016/03/08/segnet-post.html