Dataset Analytics
Generated on October 21, 2023 at 3:39 pm.
Number of Images
408
Number of Annotations
6,120
Average Image Size
2.07 mp
Median Image Ratio
1920x1080
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
2,635
874
407
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Under Represented
403
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Under Represented
390
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Under Represented
368
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
361
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
348
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
334
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Under Represented
2455
822
386
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
381
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
369
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
347
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
340
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
329
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
314
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
161
34
19
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
19
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
18
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
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
19
18
2
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
3
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
3
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
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.
All images are the same size, 1920x1080.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
408
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Weisse (407)
Rote (2,635)
Schwarze (403)
Pinke (390)
Blaue (368)
Gruene (348)
Braune (361)
Gelbe (334)
Loch (874)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Weisse
Rote
Schwarze
Pinke
Blaue
Gruene
Braune
Gelbe
Loch
-
1
-
2-4
-
5-7
-
8-10
-
11-13
-
14-16
-
17-19
-
20-22
-
23-25
-
26-28
93 imgs
46.5