Albumentations on GitHub in Energy and utilities

#1

saizk/Deep-Learning-for-Solar-Panel-Recognition

CNN models for Solar Panel Detection and Segmentation in Aerial Images.

#2

TUMFTM/RID

Roof Information Dataset for CV-Based Photovoltaic Potential Assessment

#3

links-ads/access-solar-panels

Code from "A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial Images"

#4

juancarloscno/oil-spill-SAR

Oil Spill Detection in Ecuadorian Exclusive Economic Zone

#5

GaneshArihanth/Vessel-Oil-Spill-Detection

Vessel Anomaly Detection is a microservices-based application for maritime surveillance. It combines a React/Vite frontend with a Node.js orchestration layer and a Python/PyTorch inference engine. Key features include real-time AIS tracking, on-the-fly oil spill segmentation via DeepLabV3+, and optimized data caching using MongoDB Atlas.

#6

Resmung0/defective-photovoltaic-modules-detection

Automated detection of defected photovoltaic modules using thermal images and Deep learning

#7

VisionExpo/solar-panel-fault-detection

Solar Panel Fault Detection Using Deep Learning: A Computer Vision Approach This project presents an automated system for detecting and classifying faults in solar panels using state-of-the-art deep learning and computer vision techniques. Leveraging an EfficientNetB0-based architecture, the model accurately identifies six categories of faults: bi

#8

jeanprbt/swiss-solar-panel-segmentation

Semantic segmentation of PV installations from Swiss aerial images.

#9

Charbel199/oil-spill-thickness-estimation

A proof of concept for using machine learning with radar data from a UAV over a body of water to estimate the thicness of an oil spill.

#11

kopytjuk/solar-panel-coverage-nrw

Solar panel roof coverage in North Rhine Westphalia (NRW)

#13

AleemAhmedKhan/Solar_Panel_Detection_Segmentation

Develop a comprehensive solar panel detection and segmentation system by integrating YOLOv5 for object detection and UNet++ for semantic segmentation,

#14

Amine-Fathallah0/LacunaAmine

Solar panel and boiler counting model for the Lacuna Solar Survey Challenge on Zindi. Built using InceptionV3, hybrid Albumentations + TorchVision augmentations, and trained with MAE loss. Final predictions made on satellite and drone imagery from Madagascar.

#15

DanDRob/powerline-sleeve-detection

A computer vision system for detecting powerline sleeves from street-level imagery

#16

DwikaDewaji/Oil_spill_image_classification

Predicting from a sea photo whether the waters are polluted by an oil spill

#18

kushalgupta1203/SPICE.AI

SPICE.AI (Solar Panel Inspection & Classification Engine) is an AI-powered application designed to automate the inspection and classification of solar panel conditions.

#21

woohyun-jeon/SEN1SAR-OilSpill-SCL

Enhancing oil spill detection through supervised contrastive learning with dual-polarimetric Sentinel-1 SLC images

#22

yogesh-pro/solar-rooftop-analyzer

An AI-powered Streamlit application that analyzes rooftop images to detect usable solar panel area, generate energy production estimates, recommend installation capacity, and compute ROI—all using satellite imagery, computer vision, and OpenRouter-based reasoning.