{
    "types": {
        "row": [
            "T[number]"
        ]
    },
    "enums": {},
    "structure": [
        "T[row]"
    ],
    "notes": {
        "encoding": "Space-separated numeric values formatted with %g; one instance per line, trailing newline. This JSON file describes the text layout; the producer does not emit JSON.",
        "classes": "Zero-based model class index. Class meanings require the producing model class-name mapping, which is not embedded.",
        "confidence": "Last column is present only when save_conf is enabled; disabled by default.",
        "files": "Appends to the output text file. No write when no detections exist; an existing file is not cleared.",
        "metadata": "No image dimensions, image path or class names in each row. Keep source-image association externally.",
        "contour": "Uses the largest contour from each mask. Holes and other disconnected components are not preserved; there is no minimum vertex count check in the writer.",
        "order": "Reversed detections and reversed contours are paired. Each flattened contour alternates x,y.",
        "id": "yolov5-segment-txt",
        "serialization": "text/plain",
        "columns": [
            "class",
            "x1",
            "y1",
            "...",
            "xn",
            "yn",
            "confidence (only with save_conf)"
        ],
        "coordinates": "Polygon coordinates normalized to the original image width/height.",
        "example": "0 0.1 0.2 0.5 0.2 0.3 0.6 0.9\n",
        "example_options": {
            "save_conf": true
        },
        "models": [
            "yolov5-seg"
        ],
        "producer": "segment/predict.py --save-txt",
        "sources": [
            {
                "url": "https://github.com/ultralytics/yolov5/blob/402e17ddf820996f51a191cbb798376e1144f069/segment/predict.py",
                "revision": "402e17ddf820996f51a191cbb798376e1144f069"
            }
        ],
        "emitted": [
            "polygon",
            "class",
            "confidence (optional)"
        ],
        "row_layout": "Variable-length numeric row. The first value is the integer class index, followed by flattened x,y pairs and the optional suffix columns specified in columns. Those positional constraints are described here rather than encoded as invented data fields.",
        "numeric_types": "The first token is an integer class index; polygon coordinates and optional confidence are floats. A tracking ID, where supported, is an integer. The mixed variable-length row uses number.",
        "numeric_encoding": "Float tokens use %g formatting, which can omit the decimal point for whole-valued coordinates or confidence. Types describe the decoded column meaning, not the presence of a decimal point."
    }
}