code: def imagenet_det_classes():
      return [
          "accordion",
          "airplane",
          "ant",
          "antelope",
          "apple",
          "armadillo",
          "artichoke",
          "axe",
          "baby_bed",
          "backpack",
          "bagel",
          "balance_beam",
          "banana",
          "band_aid",
          "banjo",
          "baseball",
          "basketball",
          "bathing_cap",
          "beaker",
          "bear",
          "bee",
          "bell_pepper",
          "bench",
          "bicycle",
          "binder",
          "bird",
          "bookshelf",
          "bow_tie",
          "bow",
          "bowl",
          "brassiere",
          "burrito",
          "bus",
          "butterfly",
          "camel",
          "can_opener",
          "car",
          "cart",
          "cattle",
          "cello",
          "centipede",
          "chain_saw",
          "chair",
          "chime",
          "cocktail_shaker",
          "coffee_maker",
          "computer_keyboard",
          "computer_mouse",
          "corkscrew",
          "cream",
          "croquet_ball",
          "crutch",
          "cucumber",
          "cup_or_mug",
          "diaper",
          "digital_clock",
          "dishwasher",
          "dog",
          "domestic_cat",
          "dragonfly",
          "drum",
          "dumbbell",
          "electric_fan",
          "elephant",
          "face_powder",
          "fig",
          "filing_cabinet",
          "flower_pot",
          "flute",
          "fox",
          "french_horn",
          "frog",
          "frying_pan",
          "giant_panda",
          "goldfish",
          "golf_ball",
          "golfcart",
          "guacamole",
          "guitar",
          "hair_dryer",
          "hair_spray",
          "hamburger",
          "hammer",
          "hamster",
          "harmonica",
          "harp",
          "hat_with_a_wide_brim",
          "head_cabbage",
          "helmet",
          "hippopotamus",
          "horizontal_bar",
          "horse",
          "hotdog",
          "iPod",
          "isopod",
          "jellyfish",
          "koala_bear",
          "ladle",
          "ladybug",
          "lamp",
          "laptop",
          "lemon",
          "lion",
          "lipstick",
          "lizard",
          "lobster",
          "maillot",
          "maraca",
          "microphone",
          "microwave",
          "milk_can",
          "miniskirt",
          "monkey",
          "motorcycle",
          "mushroom",
          "nail",
          "neck_brace",
          "oboe",
          "orange",
          "otter",
          "pencil_box",
          "pencil_sharpener",
          "perfume",
          "person",
          "piano",
          "pineapple",
          "ping-pong_ball",
          "pitcher",
          "pizza",
          "plastic_bag",
          "plate_rack",
          "pomegranate",
          "popsicle",
          "porcupine",
          "power_drill",
          "pretzel",
          "printer",
          "puck",
          "punching_bag",
          "purse",
          "rabbit",
          "racket",
          "ray",
          "red_panda",
          "refrigerator",
          "remote_control",
          "rubber_eraser",
          "rugby_ball",
          "ruler",
          "salt_or_pepper_shaker",
          "saxophone",
          "scorpion",
          "screwdriver",
          "seal",
          "sheep",
          "ski",
          "skunk",
          "snail",
          "snake",
          "snowmobile",
          "snowplow",
          "soap_dispenser",
          "soccer_ball",
          "sofa",
          "spatula",
          "squirrel",
          "starfish",
          "stethoscope",
          "stove",
          "strainer",
          "strawberry",
          "stretcher",
          "sunglasses",
          "swimming_trunks",
          "swine",
          "syringe",
          "table",
          "tape_player",
          "tennis_ball",
          "tick",
          "tie",
          "tiger",
          "toaster",
          "traffic_light",
          "train",
          "trombone",
          "trumpet",
          "turtle",
          "tv_or_monitor",
          "unicycle",
          "vacuum",
          "violin",
          "volleyball",
          "waffle_iron",
          "washer",
          "water_bottle",
          "watercraft",
          "whale",
          "wine_bottle",
          "zebra",
      ]
  
file_path: insightface/detection/scrfd/mmdet/core/evaluation/class_names.py
imports: import mmcv
label_desc: Use image node_id 3 for calling a global function with example usage: imagenet_det_classes() and returns: list