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.
Segmentation of road surface perceptions
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
we introduce R2S100K---a large-scale dataset and benchmark for training and evaluation of road segmentation in challenging unstructured roadways.
🚘 Segmentação de faixas de estrada com U-NET DNN.
A U-Net-50 model for segmenting road networks in aerial images. Trained on the Massachusetts Roads Dataset, the model accurately identifies and segments roads, making it ideal for applications in urban planning and autonomous driving
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.
Deep Learning based Road Segmentation using Satellite Imagery
Course Project of the Computational Intelligence Lab FS20 - Road Segmentation on Satellite Images
FCN implementation for road segmentation
A guide to use MMSegmentation to develop and benchmark different models on custom dataset.
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.
Combining Visual Transformers and U-shaped Networks for Road Segmentation
Code for the project "LinkNetB7: LinkNet with Pretrained Encoder for Efficient Road Segmentation"
Road Segmentation from Satelite images using custom Unet model
Semantic segmentation of road networks in high-resolution satellite images using a deep neural network architecture.
Project for CS-433 Machine Learning @ EPFL
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