Dataset Analytics

Generated on June 24, 2024 at 10:03 am.

Number of Images

103

Number of Annotations

984

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
267
144
87
Under Represented
Under Represented
Under Represented
Under Represented
195
95
66
Under Represented
Under Represented
Under Represented
Under Represented
14
Under Represented
19
Under Represented
Under Represented
Missing
Under Represented
35
2
Under Represented
Under Represented
Missing
Missing

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, 640x640.

Aspect Ratio Distribution

The aspect ratio of your images compares the width vs. the height of your images.

square
103

Annotation Heatmap

Overview of where your annotations are located in the images in your dataset.

all
Non-Defective (387)
Defective (267)
Electrical-Damge (17)
Dusty (87)
Physical-Damge (59)
Snow (144)
Bird-Drop (23)

Histogram of Object Count by Image

Overview of how many classes are annotated in each image in your dataset.

all
Non-Defective
Defective
Electrical-Damge
Dusty
Physical-Damge
Snow
Bird-Drop
    59 imgs
    29.5
  • 0
  • 1
  • 2-8
  • 9-15
  • 16-22
  • 23-29
  • 30-36
  • 37-43
  • 44-50
  • 51-57
  • 58-64
  • 65-71
Count of all objects

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