LADI-Dataset / ladi-overview
Overview of the Low Altitude Disaster Imagery (LADI) Dataset
☆30Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for ladi-overview
- ☆60Updated 5 months ago
- Dataset for training and evaluating tree detectors in urban environments with aerial imagery☆32Updated 5 months ago
- ☆17Updated 5 years ago
- Semantic segmentation from aerial imagery (baseline of the FLAIR #1 challenge)☆44Updated 2 months ago
- ☆41Updated last year
- Semantic segmentation from multi-source optical data (baseline for the FLAIR#2 challenge)☆60Updated 3 months ago
- Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation Models☆36Updated 4 months ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆67Updated 4 years ago
- The SpaceNet 7 Baseline Algorithm☆33Updated 4 years ago
- This repository contains code for experiments using the winning mode for xView2 "xView2: Assess Building Damage" challenge and a simple …☆22Updated last year
- ☆29Updated 2 years ago
- This repo contains codes, scripts, documents, etc, that are deliverables and helpers for the synthetic satellite imagery project from Mic…☆26Updated last year
- Code for "Estimating Generalized Measures of Local Neighbourhood Context from Multispectral Satellite Images Using a Convolutional Neural…☆22Updated 2 years ago
- Dataset download instructions.☆29Updated 6 months ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated last year
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆39Updated last year
- Slums detection through VHR and MR imagery☆11Updated 5 months ago
- ☆46Updated 3 years ago
- 🌴 A dataset for estimating tropical forest biomass based on drone and field data☆72Updated 2 years ago
- PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.☆42Updated 3 months ago
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆61Updated last year
- ☆55Updated 3 years ago
- SegEval is a Python library that provides tools for evaluating semantic segmentation models☆11Updated last year
- ☆10Updated this week
- Deep learning for Earth Observation☆53Updated 3 months ago
- Code for training and testing deep learning based land cover models.☆90Updated last year
- End-to-end workflow for generating high resolution cropland maps☆102Updated this week
- A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…☆45Updated 2 months ago
- ☆32Updated 3 months ago
- Buteo - Geospatial Analysis Meets AI☆25Updated last week