{
    "types": {
        "row": [
            "T[integer]",
            "T[float]",
            "T[float]",
            "T[float]",
            "T[float]",
            "? : T[float]",
            "? : T[integer]"
        ]
    },
    "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": "Confidence is included only with save_conf; a tracking ID, when present, follows it.",
        "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.",
        "tracking": "Tracking appends an integer track_id after the optional confidence. A sixth detection column can therefore be confidence OR track_id; the producer options must be known.",
        "order": "Preserves Results.boxes order, except that segmentation rows with fewer than three contour points are skipped.",
        "id": "ultralytics-detect-txt",
        "serialization": "text/plain",
        "columns": [
            "class",
            "x_center",
            "y_center",
            "width",
            "height",
            "confidence (only with save_conf)",
            "track_id (only for tracking results)"
        ],
        "coordinates": "Box center and size, divided by original image width/height respectively.",
        "example": "0 0.5 0.5 0.25 0.5 0.9\n",
        "example_options": {
            "save_conf": true
        },
        "models": [
            "YOLO11",
            "YOLO26"
        ],
        "producer": "Results.save_txt(path, save_conf=False)",
        "sources": [
            {
                "url": "https://github.com/ultralytics/ultralytics/blob/8a55f07e379d0d0f66cc23d09e35f54588fd1435/ultralytics/engine/results.py",
                "revision": "8a55f07e379d0d0f66cc23d09e35f54588fd1435"
            },
            {
                "url": "https://github.com/ultralytics/ultralytics/blob/8a55f07e379d0d0f66cc23d09e35f54588fd1435/ultralytics/utils/__init__.py",
                "revision": "8a55f07e379d0d0f66cc23d09e35f54588fd1435"
            },
            {
                "url": "https://github.com/ultralytics/ultralytics/blob/8a55f07e379d0d0f66cc23d09e35f54588fd1435/ultralytics/models/yolo/detect/predict.py",
                "revision": "8a55f07e379d0d0f66cc23d09e35f54588fd1435"
            }
        ],
        "emitted": [
            "bbox",
            "class",
            "confidence (optional)",
            "track_id (tracking only)"
        ],
        "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.",
        "adapters": {
            "import_one": "iai_model_zoo.formats.adapters.yolo_txt:import_one",
            "import_collection": "iai_model_zoo.formats.adapters.yolo_txt:import_collection"
        }
    }
}