OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
CloudGAN: Detecting and removing clouds from satellite RGB-images
To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
To download products provided by Theia land data center : https://theia.cnes.fr
Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery
CD-Mamba: Cloud Detection with Long-Range Spatial Dependency Modeling
Weak-to-Strong Consistency Learning for Semi-Supervised Cloud Detection
Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by Microsoft AI at DrivenData.
Cloud Detection Model for Sentinel-2 Imagery (see https://registry.opendata.aws/sentinel-2/)
Code and data for TIRAuxCloud: cloud detection dataset
CloudCastle is a security posture scanner supporting top cloud providers to increase visibility on misconfigurations and threats quickly
Public code for "Precise Forecasting of Sky Images Using Spatial Warping", ICCVW 2021
Remote sensing cloud detection training, ONNX conversion, encrypted inference and offline deployment pipeline.
AI-powered cloud detection from satellite imagery using U-Net + EfficientNet. Sub-second predictions with FastAPI backend, React frontend, and real-time analytics dashboard.
A follow up demo of my work done for the on-cloud-n competition
Cloud Detection on Satellites Using Deep Learning
🛰️ Aplicação desktop para busca, filtragem e processamento de imagens Sentinel-2 com análise real de cobertura de nuvens sobre áreas de interesse (AOI) utilizando Sentinel Hub, CDSE e s2cloudless.
Sky Quality Meter (SQM) and Cloud Detection sensor for astronomical observatories
Repository for the code of my Bachelor's thesis
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