YOLOv8n thermal solar-PV fault detector. Bootstrap model for ThermalVariations (Track B) until labelled in-house fault data is available.
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YOLOv8n thermal solar-PV fault detector. Bootstrap model for ThermalVariations (Track B) until labelled in-house fault data is available.
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1 QuelleVerifiziert 9. Sept.
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2 Auszüge--- license: agpl-3.0 library_name: ultralytics tags: [object-detection, yolov8, thermal, solar-pv, fault-detection] --- # tv-thermal-yolov8n YOLOv8n thermal solar-PV fault detector. Bootstrap model for ThermalVariations (Track B) until labelled in-house fault data is available. - **Classes:** hotspot, diode, misc (renamed from the source Hotspot/Diode/Anomaly to match the app taxonomy) - **Training data:** public "Solar thermal image defects" (Roboflow Universe), 1685 train / 100 val; DJI Mavic 3T thermal frames. - **Val metrics (best.pt):** mAP50 all 0.52 - hotspot 0.75, diode 0.45, misc 0.35. - **Intended use:** demo/bootstrap only. Single small site; under-fires on other palettes (e.g. white-hot). Not production-accurate. - **App wiring:** worker loads via hf_hub_download. Set TV_INFERENCE_BACKEND=yolo, TV_INFERENCE_MODEL_REPO=ThermalVariations/tv-thermal-yolov8n, TV_INFERENCE_MODEL_FILENAME=best.pt.
Source context: 20 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo ThermalVariations/tv-thermal-yolov8n