Dataset Analytics
Generated on March 05, 2024 at 9:00 am.
Number of Images
2,100
Number of Annotations
25,081
Average Image Size
1.13 mp
Median Image Ratio
1280x920
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
22,038
1,381
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Under Represented
1,082
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Under Represented
393
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Under Represented
175
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Under Represented
12
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Under Represented
15725
985
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
751
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
282
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
122
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
4511
278
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
223
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
71
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
37
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
1802
118
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
108
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
40
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
1
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 (1280x920).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
76
square
13
wide
2,011
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
scratch (22,038)
dent1 (1,381)
tear (393)
dislocation (1,082)
crack (175)
dent2 (12)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
scratch
dent1
tear
dislocation
crack
dent2
-
0
-
1
-
2-10
-
11-19
-
20-28
-
29-37
-
38-46
-
47-55
-
56-64
-
65-73
-
74-82
1022 imgs
511