Instructions to use 4keles/solar-panel-od with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use 4keles/solar-panel-od with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("4keles/solar-panel-od") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload thermal-v1.0.4/metadata.json with huggingface_hub
Browse files- thermal-v1.0.4/metadata.json +38 -0
thermal-v1.0.4/metadata.json
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{
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"version": "v1.0.4",
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"created_at": "2026-05-09T17:20:10.205041Z",
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"base_model": "None",
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"deployment_mode": "local",
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"data_modality": "rgb",
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"dataset": {
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"path": "data/processed_data/thermal_anomaly_v1/data.yaml",
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"source": "mvp_test_v1",
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"notes": "Etiketli ilk MVP veri seti"
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},
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"hyperparameters": {
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"model": "None",
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"epochs": 0,
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"imgsz": 0,
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"batch": 0,
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"device": "cuda:0"
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},
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"results": {
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"precision": null,
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"recall": null,
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"mAP50": null,
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"mAP50_95": null
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},
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"hardware": {
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"gpu": "NVIDIA GeForce RTX 3050 Laptop GPU",
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"vram_gb": 3.68,
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"ram_gb": "unknown",
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"cpu": "unknown"
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},
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"git": {
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"commit": "unknown",
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"branch": "unknown",
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"dirty": false
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},
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"resumed_from": null,
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"finetuned_from": null
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}
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