Dataset Analytics
Generated on December 06, 2023 at 3:46 pm.
Number of Images
9,747
Number of Annotations
13,650
Average Image Size
0.41 mp
Median Image Ratio
640x640
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
7,561
2,799
1,463
607
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
461
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Under Represented
399
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
206
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
126
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
14
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
6517
2362
1008
426
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
328
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
399
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
145
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
87
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
11
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
679
248
303
120
89
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
42
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
365
189
152
61
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
44
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
19
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
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 (640x640).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
6,326
wide
3,421
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
0 (2,799)
all
person (7,561)
Tree (1,463)
MP7 (607)
Rolex (206)
MW2_body (461)
body (399)
Bullet Shell (14)
Shotgun Ammo (14)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
0
all
person
Tree
MP7
Rolex
MW2_body
body
Bullet Shell
Shotgun Ammo
-
0
-
1
-
2-3
-
4-5
-
6-7
-
8-9
-
10-11
6216 imgs
3108