csie-lab-aug2021 Goto Github PK
Name: CSIE Lab for Edu
Type: Organization
Name: CSIE Lab for Edu
Type: Organization
Model and data to build a traffic-light-recognizing openpilot model
U-Net applied to car imagery
unet for image segmentation
U-Net Biomedical Image Segmentation
Semantic Segmentation using U-Net
This repository contains Jupyter and python implementation of U-net network for car segmentation in 2D. This can s
Paper and implementation of UNet-related model.
Background Removal based on U-Net
U-Net implementation in Tensorflow
UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.
The project aims at producing segmented images of cars. The model used is a slightly modified version of the proposed Convolutional Neural Network in the U-Net paper. The model was able to achieve a pixel accuracy of over 99.4% and a dice score of over 98.7%.
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
Trying to understand how smart is open-pilot by comma.ai
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