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swimming-pools-dctlb/2 (latest)
Dataset Analytics
Generated on April 25, 2023 at 10:28 pm.
Number of Images
1,287
Number of Annotations
12,755
Average Image Size
0.26 mp
Median Image Ratio
512x512
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
4,431
3,203
2,906
1,064
458
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Under Represented
310
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Under Represented
243
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
50
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
16
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 (512x512).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
41
square
1,209
wide
35
very wide
1
> 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
pool (3,203)
small-vehicle (4,431)
tennis-court (310)
swimming-pool (1,064)
large-vehicle (243)
basketball-court (36)
soccer-ball-field (11)
ship (2,906)
harbor (458)
roundabout (4)
storage-tank (16)
plane (50)
baseball-diamond (17)
ground-track-field (6)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
pool
small-vehicle
tennis-court
swimming-pool
large-vehicle
basketball-court
soccer-ball-field
ship
harbor
roundabout
storage-tank
plane
baseball-diamond
ground-track-field
-
1
-
2-107
-
108-213
-
214-319
-
320-425
-
426-531
-
532-637
-
638-743
-
744-849
-
850-955
-
956-1061
864 imgs
432