metadata
license: agpl-3.0
library_name: ultralytics
tags:
- yolo
- object-detection
- image-segmentation
- solar
- photovoltaic
- thermal
pipeline_tag: object-detection
Sky-OG-Model — PV Thermal Anomaly Detection & Module Segmentation
Models for the Sky-OG PV thermal inspection pipeline.
Status: scaffold only. Weights and finalized configs are produced in RunPod and pushed here. The tree below is the intended layout.
Repository structure
Sky-OG-Model/
├── README.md
├── detection/
│ ├── yolo26_pv_4class_base.pt # YOLO26 detection, 4-class (base)
│ └── yolo26_pv_4class_ft.pt # + fine-tuned on Sky-OG frames
├── segmentation/
│ └── yolo11seg_module_autogeo.pt # YOLO11-seg, module auto-geo labels
└── configs/
├── data_detection.yaml
├── data_segmentation.yaml
└── sahi_inference.yaml
Evaluation
Metrics vs. Sitemark ground truth and per-class confusion matrix to be added once training completes.