Microsoft's Label Map for the COCO dataset, as a python dictionary. It maps the integer output into a string representing the object.

mscoco_label_map.py

# https://gist.github.com/xhlulu/f7735970704b97fd0b72203628c1cc77

category_map = {
    1: 'person',
    2: 'bicycle',
    3: 'car',
    4: 'motorcycle',
    5: 'airplane',
    6: 'bus',
    7: 'train',
    8: 'truck',
    9: 'boat',
    10: 'traffic light',
    11: 'fire hydrant',
    13: 'stop sign',
    14: 'parking meter',
    15: 'bench',
    16: 'bird',
    17: 'cat',
    18: 'dog',
    19: 'horse',
    20: 'sheep',
    21: 'cow',
    22: 'elephant',
    23: 'bear',
    24: 'zebra',
    25: 'giraffe',
    27: 'backpack',
    28: 'umbrella',
    31: 'handbag',
    32: 'tie',
    33: 'suitcase',
    34: 'frisbee',
    35: 'skis',
    36: 'snowboard',
    37: 'sports ball',
    38: 'kite',
    39: 'baseball bat',
    40: 'baseball glove',
    41: 'skateboard',
    42: 'surfboard',
    43: 'tennis racket',
    44: 'bottle',
    46: 'wine glass',
    47: 'cup',
    48: 'fork',
    49: 'knife',
    50: 'spoon',
    51: 'bowl',
    52: 'banana',
    53: 'apple',
    54: 'sandwich',
    55: 'orange',
    56: 'broccoli',
    57: 'carrot',
    58: 'hot dog',
    59: 'pizza',
    60: 'donut',
    61: 'cake',
    62: 'chair',
    63: 'couch',
    64: 'potted plant',
    65: 'bed',
    67: 'dining table',
    70: 'toilet',
    72: 'tv',
    73: 'laptop',
    74: 'mouse',
    75: 'remote',
    76: 'keyboard',
    77: 'cell phone',
    78: 'microwave',
    79: 'oven',
    80: 'toaster',
    81: 'sink',
    82: 'refrigerator',
    84: 'book',
    85: 'clock',
    86: 'vase',
    87: 'scissors',
    88: 'teddy bear',
    89: 'hair drier',
    90: 'toothbrush'
}

category_index = {
    1: {'id': 1, 'name': 'person'},
    2: {'id': 2, 'name': 'bicycle'},
    3: {'id': 3, 'name': 'car'},
    4: {'id': 4, 'name': 'motorcycle'},
    5: {'id': 5, 'name': 'airplane'},
    6: {'id': 6, 'name': 'bus'},
    7: {'id': 7, 'name': 'train'},
    8: {'id': 8, 'name': 'truck'},
    9: {'id': 9, 'name': 'boat'},
    10: {'id': 10, 'name': 'traffic light'},
    11: {'id': 11, 'name': 'fire hydrant'},
    13: {'id': 13, 'name': 'stop sign'},
    14: {'id': 14, 'name': 'parking meter'},
    15: {'id': 15, 'name': 'bench'},
    16: {'id': 16, 'name': 'bird'},
    17: {'id': 17, 'name': 'cat'},
    18: {'id': 18, 'name': 'dog'},
    19: {'id': 19, 'name': 'horse'},
    20: {'id': 20, 'name': 'sheep'},
    21: {'id': 21, 'name': 'cow'},
    22: {'id': 22, 'name': 'elephant'},
    23: {'id': 23, 'name': 'bear'},
    24: {'id': 24, 'name': 'zebra'},
    25: {'id': 25, 'name': 'giraffe'},
    27: {'id': 27, 'name': 'backpack'},
    28: {'id': 28, 'name': 'umbrella'},
    31: {'id': 31, 'name': 'handbag'},
    32: {'id': 32, 'name': 'tie'},
    33: {'id': 33, 'name': 'suitcase'},
    34: {'id': 34, 'name': 'frisbee'},
    35: {'id': 35, 'name': 'skis'},
    36: {'id': 36, 'name': 'snowboard'},
    37: {'id': 37, 'name': 'sports ball'},
    38: {'id': 38, 'name': 'kite'},
    39: {'id': 39, 'name': 'baseball bat'},
    40: {'id': 40, 'name': 'baseball glove'},
    41: {'id': 41, 'name': 'skateboard'},
    42: {'id': 42, 'name': 'surfboard'},
    43: {'id': 43, 'name': 'tennis racket'},
    44: {'id': 44, 'name': 'bottle'},
    46: {'id': 46, 'name': 'wine glass'},
    47: {'id': 47, 'name': 'cup'},
    48: {'id': 48, 'name': 'fork'},
    49: {'id': 49, 'name': 'knife'},
    50: {'id': 50, 'name': 'spoon'},
    51: {'id': 51, 'name': 'bowl'},
    52: {'id': 52, 'name': 'banana'},
    53: {'id': 53, 'name': 'apple'},
    54: {'id': 54, 'name': 'sandwich'},
    55: {'id': 55, 'name': 'orange'},
    56: {'id': 56, 'name': 'broccoli'},
    57: {'id': 57, 'name': 'carrot'},
    58: {'id': 58, 'name': 'hot dog'},
    59: {'id': 59, 'name': 'pizza'},
    60: {'id': 60, 'name': 'donut'},
    61: {'id': 61, 'name': 'cake'},
    62: {'id': 62, 'name': 'chair'},
    63: {'id': 63, 'name': 'couch'},
    64: {'id': 64, 'name': 'potted plant'},
    65: {'id': 65, 'name': 'bed'},
    67: {'id': 67, 'name': 'dining table'},
    70: {'id': 70, 'name': 'toilet'},
    72: {'id': 72, 'name': 'tv'},
    73: {'id': 73, 'name': 'laptop'},
    74: {'id': 74, 'name': 'mouse'},
    75: {'id': 75, 'name': 'remote'},
    76: {'id': 76, 'name': 'keyboard'},
    77: {'id': 77, 'name': 'cell phone'},
    78: {'id': 78, 'name': 'microwave'},
    79: {'id': 79, 'name': 'oven'},
    80: {'id': 80, 'name': 'toaster'},
    81: {'id': 81, 'name': 'sink'},
    82: {'id': 82, 'name': 'refrigerator'},
    84: {'id': 84, 'name': 'book'},
    85: {'id': 85, 'name': 'clock'},
    86: {'id': 86, 'name': 'vase'},
    87: {'id': 87, 'name': 'scissors'},
    88: {'id': 88, 'name': 'teddy bear'},
    89: {'id': 89, 'name': 'hair drier'},
    90: {'id': 90, 'name': 'toothbrush'}
}

Hi, thx for this code snippet. You forgot to add 12: 'street sign' in the category_map dict.