Road Segmentation.Image Segmentation using CNN Tensorflow with SegNet
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Updated
Nov 28, 2020 - Jupyter Notebook
Road Segmentation.Image Segmentation using CNN Tensorflow with SegNet
This dataset contains 2,224 images captured within the LUMS campus, each manually annotated for 5 classes. Ideal for training semantic segmentation models for road detection.
Training pipeline for deep neural networks for computer vision developed in Pytorch Lightning
🚘 Segmentação de faixas de estrada com U-NET DNN.
This repository is about my Final Project of my undergraduate course "Processamento Digital de Imagens" or Digital Image Processing, at UFABC.
Development for my M.Tech Thesis: Deep Learning Techniques for Road Segmentation in Indian Context
Road sementics segmentation using PSPU-NET
Implementation of object detection and semantic segmentation of traffic objects in the front facing car camera using OpenVINO's pretrained models.
A guide to use MMSegmentation to develop and benchmark different models on custom dataset.
Deep Learning based Road Segmentation using Satellite Imagery
Combining Visual Transformers and U-shaped Networks for Road Segmentation
Course Project of the Computational Intelligence Lab FS20 - Road Segmentation on Satellite Images
FCN implementation for road segmentation
A small and fast CNN-based segmentation network is used to segment road / vehicles+pedestrians / other objects from the scene. The data collector uses CARLA simulator.
Code for the project "LinkNetB7: LinkNet with Pretrained Encoder for Efficient Road Segmentation"
This is my bachelor's thesis, which contains three main features: lane detection, road segmentation, and a Forward Collision Warning (FCW) system
Road Segmentation from Satelite images using custom Unet model
Project for CS-433 Machine Learning @ EPFL
Pixel wise semantic segmentation for highway roads using FCN-8 architecture
Road segmentation in aerial images.
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