Dataset Analytics
Generated on July 26, 2023 at 10:45 pm.
Number of Images
3,730
Number of Annotations
19,414
Average Image Size
0.27 mp
Median Image Ratio
510x428
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
3,752
2,894
1,092
1,014
922
773
750
747
737
698
685
633
589
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Under Represented
453
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Under Represented
443
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Under Represented
436
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Under Represented
425
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Under Represented
314
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Under Represented
304
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
278
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Under Represented
202
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Under Represented
166
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
160
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
159
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Under Represented
85
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
60
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Under Represented
49
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
48
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2771
2050
717
702
655
555
531
543
538
452
490
470
415
324
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Under Represented
347
308
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Under Represented
285
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
238
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
221
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
194
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
144
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
101
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
121
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
103
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Under Represented
55
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
48
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
35
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
32
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
35
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
662
600
240
197
182
140
151
123
142
135
124
119
108
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Under Represented
93
62
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Under Represented
71
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
92
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
53
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
59
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
34
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
49
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
23
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
32
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
17
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
15
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
11
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
11
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
319
244
135
115
85
78
68
81
111
71
44
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Under Represented
66
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
36
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
34
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
57
48
23
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
29
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
25
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
24
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
24
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
13
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
10
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
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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 (510x428).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
1,233
square
195
wide
2,295
very wide
7
> 1.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
000000007726 (425)
person (3,752)
truck (750)
stop_sign (278)
car (2,894)
pole (1,014)
warning_column (737)
bus (453)
tricycle (314)
bicycle (633)
reflective_cone (698)
motorbike (443)
000000005620 (773)
000000008204 (48)
fire_hydrant (202)
ashcan (436)
000000005669 (685)
000000002782 (1,092)
000000002687 (160)
000000001589 (922)
000000005967 (304)
000000005336 (589)
spherical_roadblock (482)
000000005326 (747)
000000002258 (85)
000000004968 (159)
000000006016 (49)
000000002621 (60)
dog (166)
000000000540 (64)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
000000007726
person
truck
stop_sign
car
pole
warning_column
bus
tricycle
bicycle
reflective_cone
motorbike
000000005620
000000008204
fire_hydrant
ashcan
000000005669
000000002782
000000002687
000000001589
000000005967
000000005336
spherical_roadblock
000000005326
000000002258
000000004968
000000006016
000000002621
dog
000000000540
-
1
-
2-6
-
7-11
-
12-16
-
17-21
-
22-26
-
27-31
-
32-36
-
37-41
-
42-46
1566 imgs
783