Dataset Analytics
Generated on January 08, 2024 at 4:33 pm.
Number of Images
33
Number of Annotations
646
Average Image Size
11.97 mp
Median Image Ratio
4000x2992
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
145
140
135
81
65
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Under Represented
59
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Under Represented
21
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Under Represented
95
99
90
55
39
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Under Represented
40
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
33
24
32
22
20
19
10
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
17
17
13
4
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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
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
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, 4000x2992.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
33
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
red (81)
purple (135)
town (21)
green (140)
black (65)
blue (145)
yellow (59)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
red
purple
town
green
black
blue
yellow
-
1
-
2-5
-
6-9
-
10-13
-
14-17
-
18-21
-
22-25
-
26-29
-
30-33
-
34-37
7 imgs
3.5