code: def category_names(self):
      return [
          "person",
          "bicycle",
          "car",
          "motorcycle",
          "airplane",
          "bus",
          "train",
          "truck",
          "boat",
          "traffic light",
          "fire hydrant",
          "stop sign",
          "parking meter",
          "bench",
          "bird",
          "cat",
          "dog",
          "horse",
          "sheep",
          "cow",
          "elephant",
          "bear",
          "zebra",
          "giraffe" "backpack",
          "umbrella",
          "handbag",
          "tie",
          "suitcase",
          "frisbee",
          "skis",
          "snowboard",
          "sports ball",
          "kite",
          "baseball bat",
          "baseball glove",
          "skateboard",
          "surfboard",
          "tennis racket",
          "bottle",
          "wine glass",
          "cup",
          "fork",
          "knife",
          "spoon",
          "bowl",
          "banana",
          "apple",
          "sandwich",
          "orange",
          "broccoli",
          "carrot",
          "hot dog",
          "pizza",
          "donut",
          "cake",
          "chair",
          "couch",
          "potted plant",
          "bed",
          "dining table",
          "toilet",
          "tv",
          "laptop",
          "mouse",
          "remote",
          "keyboard",
          "cell phone",
          "microwave",
          "oven",
          "toaster",
          "sink",
          "refrigerator",
          "book",
          "clock",
          "vase",
          "scissors",
          "teddy bear",
          "hair drier",
          "toothbrush",
      ]
  
file_path: sahi/sahi/models/yolov5sparse.py
imports: import logging
  from typing import Any, Dict, List, Optional
  import numpy
  from sahi.models.base import DetectionModel
  from sahi.prediction import ObjectPrediction
  from sahi.utils.compatibility import fix_full_shape_list, fix_shift_amount_list
  from sahi.utils.import_utils import check_package_minimum_version, check_requirements
label_desc: Use image node_id 6 for calling the Yolov5SparseDetectionModel obj's underlying member method code with example usage: obj.category_names() and returns: list