{
    "types": {
        "box": "T[float_quad]",
        "contour": [
            "T[float_vector]",
            "T[float_vector]"
        ]
    },
    "enums": {},
    "structure": {
        "boxes": [
            "T[box]"
        ],
        "contours": [
            "T[contour]"
        ],
        "confs": [
            "T[float]"
        ],
        "classes": [
            "T[integer]"
        ],
        "scales": [
            "T[float]"
        ],
        "areas": [
            "T[float]"
        ],
        "image_path": "T[string]",
        "image_width": "T[integer]",
        "image_height": "T[integer]",
        "mask_width": "T[integer]",
        "mask_height": "T[integer]",
        "identifier": "? : T[null] | T[string] | [T[string]]"
    },
    "notes": {
        "mask_dimensions": "In practice there is never any difference between image and mask dimension with the flatbug models.",
        "classes": "Since the flatbug models do not try to do classification, the values in classification is actually just all ones (1).",
        "serialization": "application/json",
        "numbers": "Class IDs and image/mask dimensions are integers. Coordinates, confidence, scales and areas are floating-point values.",
        "contours": "Each contour is [x_coordinates, y_coordinates], with equal-length arrays. Author json_data derives contours in original-image coordinates, including the non-polygon mask path.",
        "identifier": "json_data uses null; the flat-bug 1.2.0 CLI probe emitted a list containing a run UUID. This is not a unique image ID.",
        "boxes": "[x1,y1,x2,y2] in original-image pixels with top-left origin.",
        "areas": "Polygon-mode areas are in image pixel-square units. In the non-polygon path, areas count mask-grid pixels; differing mask dimensions require keeping that distinction.",
        "adapters": {
            "import_one": "iai_model_zoo.formats.adapters.flatbug:import_one",
            "export_one": "iai_model_zoo.formats.adapters.flatbug:export_one"
        }
    }
}