Dataset Analytics
Generated on October 25, 2024 at 12:21 pm.
Number of Images
2,960
Number of Annotations
10,344
Average Image Size
0.99 mp
Median Image Ratio
1232x872
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
2,873
1,069
1,065
1,015
783
722
707
617
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Under Represented
309
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
249
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
218
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
147
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
2004
745
743
717
561
502
493
438
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
207
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
182
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
158
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
58
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
580
215
214
197
160
147
142
121
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
43
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
12
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
289
109
108
101
62
73
72
58
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
31
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
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 (1232x872).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
2,960
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
soap (2,873)
L (1,015)
U (1,069)
X (1,065)
r (617)
exo (722)
na (707)
z-naked soap (77)
folding_issue (218)
shrinkage (249)
burn (783)
z-end-seal-open (147)
black_mark (309)
z_wrapper_integrity (493)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
soap
L
U
X
r
exo
na
z-naked soap
folding_issue
shrinkage
burn
z-end-seal-open
black_mark
z_wrapper_integrity
-
0
-
1
-
2-3
-
4-5
-
6-7
-
8-9
-
10-11
1752 imgs
876