Created
April 22, 2019 14:23
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Labels for the Mobilenet v2 SSD model trained with the COCO (2018/03/29) dataset.
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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 |
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