FCN implementation for road segmentation
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Updated
Jul 16, 2021 - Python
FCN implementation for road segmentation
Road Segmentation.Image Segmentation using CNN Tensorflow with SegNet
Road sementics segmentation using PSPU-NET
Road Segmentation from Satelite images using custom Unet model
Implementation of object detection and semantic segmentation of traffic objects in the front facing car camera using OpenVINO's pretrained models.
Training pipeline for deep neural networks for computer vision developed in Pytorch Lightning
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.
A guide to use MMSegmentation to develop and benchmark different models on custom dataset.
Deep Learning based Road Segmentation using Satellite Imagery
Course Project of the Computational Intelligence Lab FS20 - Road Segmentation on Satellite Images
Code for the project "LinkNetB7: LinkNet with Pretrained Encoder for Efficient Road Segmentation"
🚘 Segmentação de faixas de estrada com U-NET DNN.
This is my bachelor's thesis, which contains three main features: lane detection, road segmentation, and a Forward Collision Warning (FCW) system
Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.
Combining Visual Transformers and U-shaped Networks for Road Segmentation
This repository is about my Final Project of my undergraduate course "Processamento Digital de Imagens" or Digital Image Processing, at UFABC.
Aerial Image segmentation using different EfficientNet based backbone encoders with UNet on Massachusetts Building and Road dataset
Road segmentation using CNNs
🎓 ML project for EPFL course CS-433 Machine Learning. Comparing ResNet and UNET for a road segmentation task.
Project for CS-433 Machine Learning @ EPFL
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