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
Under Represented
589
271
178
Under Represented
133
33
Under Represented
59
22
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
    50 imgs
    25
  • 1
  • 2-4
  • 5-7
  • 8-10
  • 11-13
  • 14-16
  • 17-19
  • 20-22
  • 23-25
Count of all objects

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