fall classifier weights + ADR-015 metadata (gcn/lstm/transformer/svm/random-forest + pretrained)

gcn/metadata.json

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+{
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+  "version": "poc",
+  "dataset": "le2i",
+  "outputs": [
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+  "source": "trained",
+  "reacquire": "cd ml && uv run python -m training.train"
+}

gcn/model.pt

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lstm/metadata.json

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+  "name": "fall-detector",
+  "version": "poc",
+  "dataset": "le2i",
+  "outputs": [
+    "fall_prob"
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+  "source": "trained",
+  "reacquire": "cd ml && uv run python -m training.train"
+}

lstm/model.pt

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pretrained/melihuzunoglu_yolo11/best.pt

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pretrained/melihuzunoglu_yolo11/metadata.json

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+  "source_url": "https://huggingface.co/melihuzunoglu/human-fall-detection",
+  "weight_url": "https://huggingface.co/melihuzunoglu/human-fall-detection/resolve/main/best.pt",
+  "weight_path": "/Users/beomsu/Documents/01_Project/eldercare-fall-ai/ml/models/fall/pretrained/melihuzunoglu_yolo11/best.pt",
+  "fall_labels": [
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+  "license_note": "Review upstream model license before product use.",
+  "source": "third-party",
+  "reacquire": "https://huggingface.co/melihuzunoglu/human-fall-detection/resolve/main/best.pt"
+}

pretrained/syed_yolo11_le2i/best.pt

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pretrained/syed_yolo11_le2i/metadata.json

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+  "source_url": "https://github.com/SyedBurhanAhmed/Real-Time-Fall-Detection-using-YOLO",
+  "weight_url": "https://raw.githubusercontent.com/SyedBurhanAhmed/Real-Time-Fall-Detection-using-YOLO/main/Model/weights/best.pt",
+  "weight_path": "/Users/beomsu/Documents/01_Project/eldercare-fall-ai/ml/models/fall/pretrained/syed_yolo11_le2i/best.pt",
+  "fall_labels": [
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+    "fallen",
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+  "license_note": "Review upstream model license before product use.",
+  "source": "third-party",
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pretrained/tomotsugu_yolov8/metadata.json

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+  "source_url": "https://github.com/Tomotsugu-dev/Human-Fall-Detection",
+  "weight_url": "https://raw.githubusercontent.com/Tomotsugu-dev/Human-Fall-Detection/main/models/yolo_fall/best.pt",
+  "weight_path": "/Users/beomsu/Documents/01_Project/eldercare-fall-ai/ml/models/fall/pretrained/tomotsugu_yolov8/best.pt",
+  "fall_labels": [
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+    "fallen",
+    "lying"
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+  "license_note": "Review upstream model license before product use.",
+  "source": "third-party",
+  "reacquire": "https://raw.githubusercontent.com/Tomotsugu-dev/Human-Fall-Detection/main/models/yolo_fall/best.pt"
+}

random-forest/metadata.json

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+{
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+  "version": "poc",
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+  "outputs": [
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random-forest/model.pkl

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svm/metadata.json

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+  "outputs": [
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svm/model.pkl

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transformer/metadata.json

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+  "framework": "pytorch",
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transformer/model.pt

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