ayushdabra / dubai-satellite-imagery-segmentationLinks
Multi-Class Semantic Segmentation on Dubai's Satellite Images.
☆83Updated 2 years ago
Alternatives and similar repositories for dubai-satellite-imagery-segmentation
Users that are interested in dubai-satellite-imagery-segmentation are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of U-Net for aerial imagery semantic segmentation.☆81Updated 3 years ago
- Regularization of Building Boundaries using Adversarial and Regularized losses☆142Updated last year
- ☆85Updated last year
- ☆61Updated 4 years ago
- List of datasets and codes for remote sensing LULC applications.☆46Updated last year
- This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification)…☆50Updated 2 years ago
- Building detection from the SpaceNet dataset by using Mask RCNN.☆252Updated 4 years ago
- Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place☆36Updated 2 years ago
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆67Updated 2 years ago
- Training and deployment of deep learning models for satellite & aerial imagery☆62Updated this week
- Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)☆27Updated 5 years ago
- Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.☆356Updated last year
- ☆234Updated 11 months ago
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.☆200Updated 2 years ago
- Building footprint segmentation from satellite and aerial imagery☆154Updated last year
- Multi-class semantic segmentation performed on "Semantic Drone Dataset."☆85Updated 4 years ago
- Baseline localization and classification models for the xView 2 challenge.☆223Updated 2 years ago
- PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.☆170Updated 11 months ago
- DroneDeploy Machine Learning Segmentation Benchmark☆229Updated 2 years ago
- Chesapeake RSC dataset introduced in "Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial image…☆50Updated 7 months ago
- Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed…☆73Updated 2 years ago
- ☆67Updated last year
- Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networ…☆103Updated 3 years ago
- Automated Building Detection using Deep Learning☆102Updated 7 months ago
- Road and Building Segmentation in Satellite Imagery☆139Updated 2 years ago
- crop classification using deep learning on satellite images☆119Updated 4 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- Repository for SEN12MS related codes and utilities☆115Updated last year
- Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery☆143Updated 3 years ago
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆96Updated 3 years ago