minaahmed Goto Github PK
Name: Mina87
Type: User
Company: University of Dubai
Name: Mina87
Type: User
Company: University of Dubai
Use ResNet50 to predict oil palm plantations in satellite images.
Two Datasets for Power Line Detection in UAV Images
Simple baseline in Keras for semantic segmentation of point clouds
Pytorch implementation of RetinaNet object detection.
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
RetinaNet for Object Detection in TensorFlow2 and Applications
Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)
Deep learning based scripts which, given an aerial image can output a binary mask for the input image showing for each pixel if it belongs to a road or not. Approach is based on Massachusetts Roads Dataset (Mnih) containing total 1438 high resolution images along with their road masks.
rotation detection based on yolov5
Satellite Stereo Pipeline
Codes for "A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches"
Change Detection in Synthetic Aperture Radar Images Using a Dual Domain Network, IEEE GRSL 2022
Code for "Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network," IEEE JSTARS 2021
Resources for deep learning with satellite & aerial imagery
Summer Project at Indian Institute of Remote Sensing, ISRO, Dehradun.
This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Use sequence models to forecast weather in Saudi Arabia cities
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Implementing DeepLab_v3 Atrous Convolutional Networks for Semantic Segmentation in NIR Images
I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
Exploration of using semi-supervised pre-training to improve convolutional neural network image segmentation performance on satellite imagery
π₯Urban-scale point cloud dataset (CVPR 2021)
Sentinel-1 image pre-processing using snappy.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.