Individual tree crown delineation in optical remote sensing images

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Geospatial resources for web development 🌍 🗺️

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN

A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions

Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, pr…

An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine

This is a code of U-Net Semantic Segmentation for Remote Sensing Images,mainly for learning and communication

A tutorial explaining how to run a unet segmentation in PyTorch using Geotiffs as input

A SAM-based model for instance segmentation of images of grains

CUDA accelerated rasterization of gaussian splatting

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL

High accuracy RAG for answering questions from scientific documents with citations

This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

Multi-class semantic segmentation performed on "Semantic Drone Dataset."

Multiclass Semantic Segmentation using U-NET architecture on aerial drone imagery

A Shiny App for Making Hex Stickers.

🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny

Python library for YOLO small object detection and instance segmentation

3D Gaussian Splatting for Real-Time Radiance Field Rendering - Detailed Windows Install & Usage Instructions

A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker