%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Yolov8s Seg Solar Panels
This is an instance segmentation model trained on the YOLOv8s architecture, specifically designed for detecting and segmenting solar panel images.
Downloads 35
Release Time : 7/10/2023
Model Overview
The model utilizes the YOLOv8s architecture and is trained on a solar panel dataset, enabling accurate identification and segmentation of solar panels in images. It is suitable for quality inspection, installation assessment, and other scenarios in the photovoltaic industry.
Model Features
High-Precision Segmentation
Capable of precisely segmenting solar panels in images, suitable for recognition tasks in complex backgrounds.
Based on YOLOv8s Architecture
Adopts the lightweight YOLOv8s architecture, maintaining high accuracy while ensuring fast inference speed.
Domain-Specific Optimization
Specially optimized for solar panel images, delivering excellent performance in photovoltaic industry applications.
Model Capabilities
Solar Panel Detection
Instance Segmentation
Image Analysis
Use Cases
Photovoltaic Industry
Solar Panel Quality Inspection
Automatically detects the installation quality of solar panels, identifying damages or anomalies.
Accurately segments solar panel regions to assist in quality assessment.
Photovoltaic System Installation Assessment
Evaluates the layout and coverage of solar panel installations.
Provides precise information on the position and shape of solar panels.
Remote Sensing Monitoring
Solar Power Plant Monitoring
Identifies and counts solar panels from aerial or satellite images.
Enables large-scale automated recognition of solar panel distribution.
TransformersFeatured Recommended AI Models
Š 2025AIbase