{
    "types": {
        "box_row": [
            "T[float]",
            "T[float]",
            "T[float]",
            "T[float]",
            "T[float]",
            "T[integer]"
        ],
        "tracked_box_row": [
            "T[float]",
            "T[float]",
            "T[float]",
            "T[float]",
            "T[integer]",
            "T[float]",
            "T[integer]"
        ],
        "boxes": {
            "data": [
                "T[box_row] | T[tracked_box_row]"
            ]
        }
    },
    "enums": {},
    "structure": {
        "orig_shape": [
            "T[integer]",
            "T[integer]"
        ],
        "path": "T[string]",
        "names": "T[object]",
        "boxes": "T[boxes]"
    },
    "notes": {
        "scope": "Relevant public prediction fields of Results, not a JSON serialization or a complete inventory of object attributes. Batched prediction returns a list; stream=True returns a generator.",
        "box_columns": "x1, y1, x2, y2, confidence, class; tracking inserts track_id between y2 and confidence. IDs are numeric entries in the tensor, not separate integer arrays.",
        "coordinates": "boxes.data uses original-image pixel corners; orig_shape is (height, width). Class index meanings come from names.",
        "empty": "boxes.data has zero rows for no detections.",
        "id": "ultralytics-detect-results",
        "models": [
            "YOLO11",
            "YOLO26"
        ],
        "serialization": "Python object / tensors",
        "producer": "YOLO.predict(...): one Results object per image",
        "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"
            }
        ],
        "representation": "Arrays describe tensor/ndarray dimensions, and objects describe public attributes. Actual values remain Python objects, tensors and arrays, not JSON. names is a dictionary mapping integer class indices to strings.",
        "numeric_storage": "Box tensors store floating-point entries, including class and tracking IDs. Those ID columns are declared integer because that is their expected safe cast target. Storage precision depends on the producer/runtime; consumers must preserve ID values during conversion.",
        "adapters": {
            "import_one": "iai_model_zoo.formats.adapters.ultralytics:import_one",
            "import_collection": "iai_model_zoo.formats.adapters.ultralytics:import_collection"
        }
    }
}