{
  "label": "Detection model configuration",
  "description": "Settings to configure a custom object detection model, its input shape, and labelmap overrides.",
  "path": {
    "label": "Custom Object detection model path",
    "description": "Path to a custom detection model file (or plus://<model_id> for Frigate+ models)."
  },
  "labelmap_path": {
    "label": "Label map for custom object detector",
    "description": "Path to a labelmap file that maps numeric classes to string labels for the detector."
  },
  "width": {
    "label": "Object detection model input width",
    "description": "Width of the model input tensor in pixels."
  },
  "height": {
    "label": "Object detection model input height",
    "description": "Height of the model input tensor in pixels."
  },
  "labelmap": {
    "label": "Labelmap customization",
    "description": "Overrides or remapping entries to merge into the standard labelmap."
  },
  "attributes_map": {
    "label": "Map of object labels to their attribute labels",
    "description": "Mapping from object labels to attribute labels used to attach metadata (for example 'car' -> ['license_plate'])."
  },
  "input_tensor": {
    "label": "Model Input Tensor Shape",
    "description": "Tensor format expected by the model: 'nhwc' or 'nchw'."
  },
  "input_pixel_format": {
    "label": "Model Input Pixel Color Format",
    "description": "Pixel colorspace expected by the model: 'rgb', 'bgr', or 'yuv'."
  },
  "input_dtype": {
    "label": "Model Input D Type",
    "description": "Data type of the model input tensor (for example 'float32')."
  },
  "model_type": {
    "label": "Object Detection Model Type",
    "description": "Detector model architecture type (ssd, yolox, yolonas) used by some detectors for optimization."
  }
}