Dataset Analytics
Generated on July 09, 2024 at 9:10 pm.
Number of Images
101
Number of Annotations
1,400
Average Image Size
1.84 mp
Median Image Ratio
2560x720
extremely wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
781
386
233
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
589
271
178
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
133
78
33
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, 2560x720.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
extremely wide
101
> 2.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
sphere (233)
cilinder (386)
cube (781)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
sphere
cilinder
cube
-
1
-
2-4
-
5-7
-
8-10
-
11-13
-
14-16
-
17-19
-
20-22
-
23-25
50 imgs
25