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Datasets:
Mirali33
/
mb-surface_cls

Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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 Community
Mirali33 commited on
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Upload mapping.json with huggingface_hub

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  1. mapping.json +146 -0
mapping.json ADDED
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+ {
2
+ "0": [
3
+ "apx",
4
+ "Alpha Particle X-Ray Spectrometer (APXS)"
5
+ ],
6
+ "1": [
7
+ "act",
8
+ "Alpha Particle X-Ray Spectrometer Calibration Target (APXS CT)"
9
+ ],
10
+ "2": [
11
+ "arm",
12
+ "Arm Cover"
13
+ ],
14
+ "3": [
15
+ "art",
16
+ "Artifact"
17
+ ],
18
+ "4": [
19
+ "cct",
20
+ "Chemcam Calibration Target"
21
+ ],
22
+ "5": [
23
+ "cio",
24
+ "Chemin Inlet Open"
25
+ ],
26
+ "6": [
27
+ "clr",
28
+ "Close-Up Rock"
29
+ ],
30
+ "7": [
31
+ "dls",
32
+ "Distant Landscape"
33
+ ],
34
+ "8": [
35
+ "dri",
36
+ "Drill"
37
+ ],
38
+ "9": [
39
+ "drh",
40
+ "Drill Holes"
41
+ ],
42
+ "10": [
43
+ "drp",
44
+ "Dust Removal Tool Spot"
45
+ ],
46
+ "11": [
47
+ "drt",
48
+ "Dust Removal Tool"
49
+ ],
50
+ "12": [
51
+ "flr",
52
+ "Float Rock"
53
+ ],
54
+ "13": [
55
+ "gro",
56
+ "Ground"
57
+ ],
58
+ "14": [
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+ "hor",
60
+ "Horizon"
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+ ],
62
+ "15": [
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+ "inl",
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+ "Inlet"
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+ ],
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+ "16": [
67
+ "lar",
68
+ "Layered Rock"
69
+ ],
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+ "17": [
71
+ "ltv",
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+ "Light-Toned Veins"
73
+ ],
74
+ "18": [
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+ "mah",
76
+ "Mahli"
77
+ ],
78
+ "19": [
79
+ "mct",
80
+ "Mahli Calibration Target"
81
+ ],
82
+ "20": [
83
+ "mas",
84
+ "Mastcam"
85
+ ],
86
+ "21": [
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+ "mca",
88
+ "Mastcam Calibration Target"
89
+ ],
90
+ "22": [
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+ "nsk",
92
+ "Night Sky"
93
+ ],
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+ "23": [
95
+ "obt",
96
+ "Observation Tray"
97
+ ],
98
+ "24": [
99
+ "pbo",
100
+ "Portion Box"
101
+ ],
102
+ "25": [
103
+ "ptu",
104
+ "Portion Tube"
105
+ ],
106
+ "26": [
107
+ "pto",
108
+ "Portion Tube Opening"
109
+ ],
110
+ "27": [
111
+ "rem",
112
+ "Rover Environmental Monitoring Station - Ultraviolet Sensor (REMS-UV)"
113
+ ],
114
+ "28": [
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+ "rrd",
116
+ "Rover Rear Deck"
117
+ ],
118
+ "29": [
119
+ "san",
120
+ "Sand"
121
+ ],
122
+ "30": [
123
+ "sco",
124
+ "Scoop"
125
+ ],
126
+ "31": [
127
+ "sun",
128
+ "Sun"
129
+ ],
130
+ "32": [
131
+ "tur",
132
+ "Turret"
133
+ ],
134
+ "33": [
135
+ "whe",
136
+ "Wheel"
137
+ ],
138
+ "34": [
139
+ "whj",
140
+ "Wheel Joint"
141
+ ],
142
+ "35": [
143
+ "wht",
144
+ "Wheel Tracks"
145
+ ]
146
+ }