what.models.detection.datasets.coco

 1COCO_CLASS_NAMES = ["person",
 2                    "bicycle",
 3                    "car",
 4                    "motorbike",
 5                    "aeroplane",
 6                    "bus",
 7                    "train",
 8                    "truck",
 9                    "boat",
10                    "traffic light",
11                    "fire hydrant",
12                    "stop sign",
13                    "parking meter",
14                    "bench",
15                    "bird",
16                    "cat",
17                    "dog",
18                    "horse",
19                    "sheep",
20                    "cow",
21                    "elephant",
22                    "bear",
23                    "zebra",
24                    "giraffe",
25                    "backpack",
26                    "umbrella",
27                    "handbag",
28                    "tie",
29                    "suitcase",
30                    "frisbee",
31                    "skis",
32                    "snowboard",
33                    "sports ball",
34                    "kite",
35                    "baseball bat",
36                    "baseball glove",
37                    "skateboard",
38                    "surfboard",
39                    "tennis racket",
40                    "bottle",
41                    "wine glass",
42                    "cup",
43                    "fork",
44                    "knife",
45                    "spoon",
46                    "bowl",
47                    "banana",
48                    "apple",
49                    "sandwich",
50                    "orange",
51                    "broccoli",
52                    "carrot",
53                    "hot dog",
54                    "pizza",
55                    "donut",
56                    "cake",
57                    "chair",
58                    "sofa",
59                    "pottedplant",
60                    "bed",
61                    "diningtable",
62                    "toilet",
63                    "tvmonitor",
64                    "laptop",
65                    "mouse",
66                    "remote",
67                    "keyboard",
68                    "cell phone",
69                    "microwave",
70                    "oven",
71                    "toaster",
72                    "sink",
73                    "refrigerator",
74                    "book",
75                    "clock",
76                    "vase",
77                    "scissors",
78                    "teddy bear",
79                    "hair drier",
80                    "toothbrush" ]