OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

CloudGAN: Detecting and removing clouds from satellite RGB-images

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

High-Resolution Cloud Detection Network

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.

Code and data for TIRAuxCloud: cloud detection dataset

Cloud Detection Model for Sentinel-2 Imagery (see https://registry.opendata.aws/sentinel-2/)

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

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

Semantic segmentation for cloud pixel detection in satellite imagery. U-Net + sensor-agnostic band projector, validated against s2cloudless, with ONNX export to C pipelines.