Dataset Analytics
Generated on April 02, 2024 at 11:13 am.
Number of Images
1,237
Number of Annotations
5,650
Average Image Size
0.69 mp
Median Image Ratio
1000x667
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
1,104
1,027
613
587
514
510
396
282
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Under Represented
271
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
186
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
1024
742
507
335
286
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Under Represented
437
348
194
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
140
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
139
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
95
54
150
135
13
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
37
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
42
32
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
8
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
80
190
52
102
93
60
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
51
22
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
14
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
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 (1000x667).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
66
square
123
wide
982
very wide
65
> 1.5:1
extremely wide
1
> 2.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
music-instrument (396)
animal (282)
nature (613)
transport (271)
food (587)
nasty (514)
person (1,104)
sport (186)
equipment (510)
activity (160)
scout (1,027)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
music-instrument
animal
nature
transport
food
nasty
person
sport
equipment
activity
scout
-
1
-
2-12
-
13-23
-
24-34
-
35-45
-
46-56
-
57-67
-
68-78
-
79-89
-
90-100
-
101-111
701 imgs
350.5