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skyeye/1 (latest)
Dataset Analytics
Generated on July 07, 2023 at 11:33 am.
Number of Images
10,000
Number of Annotations
54,782
Average Image Size
0.17 mp
Median Image Ratio
416x416
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
22,170
17,645
2,291
1,368
1,169
695
635
596
410
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
364
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Under Represented
359
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Under Represented
334
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Under Represented
324
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Under Represented
249
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Under Represented
248
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Under Represented
232
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Under Represented
231
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Under Represented
222
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Under Represented
220
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Under Represented
196
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Under Represented
195
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Under Represented
178
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Under Represented
177
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Under Represented
164
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Under Represented
160
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Under Represented
156
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Under Represented
152
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Under Represented
146
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Under Represented
144
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Under Represented
138
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Under Represented
128
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Under Represented
127
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Under Represented
127
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Under Represented
107
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Under Represented
104
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Under Represented
98
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Under Represented
97
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Under Represented
96
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
96
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Under Represented
91
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Under Represented
90
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Under Represented
89
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Under Represented
83
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Under Represented
80
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Under Represented
78
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Under Represented
77
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
77
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
76
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Under Represented
75
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Under Represented
72
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Under Represented
71
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Under Represented
67
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
65
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Under Represented
64
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
64
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
63
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
63
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
58
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
57
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
55
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
55
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
54
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
51
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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Under Represented
48
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Under Represented
45
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Under Represented
44
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
43
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Under Represented
34
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Under Represented
31
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
31
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Under Represented
28
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Under Represented
23
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Under Represented
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Under Represented
20
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Under Represented
20
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Under Represented
18
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Under Represented
18
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Under Represented
16
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Under Represented
12
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Under Represented
11
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Under Represented
11
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Under Represented
10
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Under Represented
10
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Under Represented
6
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Under Represented
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Under Represented
2
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Under Represented
2
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Under Represented
1
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Under Represented
16684
14029
1576
963
820
505
411
375
254
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Under Represented
282
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Under Represented
240
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Under Represented
239
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Under Represented
247
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Under Represented
179
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Under Represented
156
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Under Represented
148
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Under Represented
173
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Under Represented
147
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Under Represented
161
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Under Represented
132
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Under Represented
138
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Under Represented
133
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Under Represented
128
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Under Represented
126
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Under Represented
95
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Under Represented
100
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Under Represented
103
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Under Represented
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Under Represented
114
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Under Represented
102
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Under Represented
101
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Under Represented
99
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Under Represented
87
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Under Represented
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Under Represented
71
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Under Represented
73
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Under Represented
67
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Under Represented
63
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Under Represented
54
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Under Represented
67
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Under Represented
50
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Under Represented
57
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Under Represented
68
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Under Represented
62
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Under Represented
60
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Under Represented
62
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Under Represented
54
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Under Represented
52
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Under Represented
69
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Under Represented
43
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Under Represented
32
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Under Represented
50
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Under Represented
49
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Under Represented
46
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
46
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Under Represented
50
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Under Represented
39
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Under Represented
47
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Under Represented
45
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
46
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Under Represented
27
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Under Represented
39
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Under Represented
47
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Under Represented
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Under Represented
37
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Under Represented
32
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Under Represented
37
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Under Represented
31
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Under Represented
22
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Under Represented
20
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Under Represented
22
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Under Represented
22
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Under Represented
16
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Under Represented
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Under Represented
11
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Under Represented
13
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Under Represented
13
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Under Represented
14
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Under Represented
10
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Under Represented
10
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Under Represented
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Under Represented
9
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Under Represented
3
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Under Represented
5
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Under Represented
4
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Under Represented
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Under Represented
2
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Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
3586
2151
482
278
234
139
132
133
101
49
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Under Represented
76
54
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Under Represented
44
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Under Represented
41
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Under Represented
74
41
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Under Represented
46
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Under Represented
65
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Under Represented
30
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
30
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Under Represented
39
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Under Represented
31
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Under Represented
31
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Under Represented
24
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Under Represented
43
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Under Represented
41
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Under Represented
37
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Under Represented
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Under Represented
16
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Under Represented
34
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Under Represented
19
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Under Represented
21
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Under Represented
23
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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Under Represented
20
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
19
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Under Represented
22
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Under Represented
19
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
41
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Under Represented
11
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Under Represented
31
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Under Represented
16
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Under Represented
8
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Under Represented
12
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Under Represented
10
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Under Represented
11
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Under Represented
13
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Under Represented
8
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Under Represented
4
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Under Represented
15
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Under Represented
22
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Under Represented
10
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Under Represented
9
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Under Represented
16
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Under Represented
9
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
10
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
10
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Under Represented
3
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Under Represented
9
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Under Represented
4
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Under Represented
16
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Under Represented
8
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Under Represented
1
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Under Represented
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Under Represented
7
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Under Represented
11
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Under Represented
5
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Under Represented
5
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Under Represented
6
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Under Represented
6
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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Under Represented
5
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Under Represented
6
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Under Represented
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Under Represented
4
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Under Represented
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Under Represented
1
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Under Represented
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Under Represented
1
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Under Represented
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Under Represented
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Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
3
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1900
1465
233
127
115
51
88
55
33
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Under Represented
43
41
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Under Represented
33
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Under Represented
29
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18
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Under Represented
43
12
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Under Represented
10
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Under Represented
29
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Under Represented
34
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Under Represented
18
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Under Represented
14
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Under Represented
18
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Under Represented
14
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Under Represented
22
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Under Represented
15
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Under Represented
12
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Under Represented
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Under Represented
14
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Under Represented
2
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Under Represented
8
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Under Represented
7
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Under Represented
17
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Under Represented
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Under Represented
13
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Under Represented
6
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Under Represented
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Under Represented
14
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Under Represented
1
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Under Represented
13
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Under Represented
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Under Represented
16
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Under Represented
7
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Under Represented
6
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Under Represented
8
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Under Represented
4
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Under Represented
10
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Under Represented
16
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Under Represented
2
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Under Represented
14
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Under Represented
17
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Under Represented
7
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Under Represented
7
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Under Represented
2
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Under Represented
9
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Under Represented
3
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Under Represented
14
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
8
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
12
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
7
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
7
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
6
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
7
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
Dimension Insights
Overview of the sizes and aspect ratios of the images in your dataset.
Size Distribution
Sizes are based on the number of pixels in your images.
The purple box indicates the median width by median height image (416x416).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
5,120
wide
4,880
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
car (17,645)
person (22,170)
tie (156)
bench (222)
handbag (359)
umbrella (410)
potted plant (97)
surfboard (160)
horse (138)
bike (1,368)
chair (695)
car_stop (2,291)
sports ball (196)
baseball bat (104)
baseball glove (107)
color_cone (1,169)
teddy bear (71)
skateboard (177)
toilet (10)
wine glass (90)
hot dog (44)
dining table (231)
cup (334)
sandwich (55)
donut (75)
motorcycle (220)
sink (45)
tennis racket (146)
snowboard (91)
bump (64)
bird (78)
boat (232)
bed (34)
suitcase (96)
book (324)
remote (127)
airplane (67)
pizza (80)
train (54)
sign (178)
fork (83)
bowl (195)
backpack (248)
bottle (364)
spoon (89)
cat (28)
bicycle (596)
clock (64)
banana (96)
cow (63)
apple (51)
couch (65)
cake (76)
tv (77)
cell phone (152)
oven (48)
traffic light (635)
scissors (11)
other vehicule (48)
kite (249)
bus (127)
toothbrush (20)
laptop (77)
mouse (18)
knife (128)
hair drier (5)
broccoli (16)
refrigerator (31)
animal (23)
dog (98)
carrot (72)
truck (164)
skis (144)
hole (6)
vase (43)
giraffe (31)
sheep (55)
frisbee (57)
fire hydrant (12)
keyboard (20)
stop sign (18)
parking meter (22)
object (1)
microwave (11)
elephant (63)
orange (58)
bear (10)
toaster (2)
zebra (2)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
car
person
tie
bench
handbag
umbrella
potted plant
surfboard
horse
bike
chair
car_stop
sports ball
baseball bat
baseball glove
color_cone
teddy bear
skateboard
toilet
wine glass
hot dog
dining table
cup
sandwich
donut
motorcycle
sink
tennis racket
snowboard
bump
bird
boat
bed
suitcase
book
remote
airplane
pizza
train
sign
fork
bowl
backpack
bottle
spoon
cat
bicycle
clock
banana
cow
apple
couch
cake
tv
cell phone
oven
traffic light
scissors
other vehicule
kite
bus
toothbrush
laptop
mouse
knife
hair drier
broccoli
refrigerator
animal
dog
carrot
truck
skis
hole
vase
giraffe
sheep
frisbee
fire hydrant
keyboard
stop sign
parking meter
object
microwave
elephant
orange
bear
toaster
zebra
-
0
-
1
-
2-7
-
8-13
-
14-19
-
20-25
-
26-31
-
32-37
-
38-43
-
44-49
-
50-55
-
56-61
4919 imgs
2459.5