Dataset Analytics

Generated on January 15, 2024 at 1:42 am.

Number of Images

1,409
0 null examples

Number of Annotations

17,002
12.1 per image (average)
Across 5 classes

Average Image Size

3.33 mp
from to 0.92 mp
to 9.73 mp

Median Image Ratio

2048x2048
square

Class Balance

Overview of the number of annotations for each class in your dataset.

Classes

all
train
valid
test
GoodEgg
5,070
Dirty Egg
5,002
Crack Egg
4,061
Deformed Egg
1,569
Under Represented
Bloodspot
1,300
Under Represented
GoodEgg
3537
Dirty Egg
3248
Crack Egg
2818
Deformed Egg
1086
Under Represented
Bloodspot
907
Under Represented
GoodEgg
1073
Dirty Egg
1167
Crack Egg
839
Deformed Egg
320
Under Represented
Bloodspot
259
Under Represented
GoodEgg
460
Dirty Egg
587
Crack Egg
404
Deformed Egg
163
Under Represented
Bloodspot
134
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 (2048x2048).

large
10
jumbo
1,399
> 1024x1024
2048px
2048px

Aspect Ratio Distribution

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

tall
129
square
1,157
wide
123

Annotation Heatmap

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

all
Crack Egg (4,061)
Dirty Egg (5,002)
Bloodspot (1,300)
Deformed Egg (1,569)
GoodEgg (5,070)

Histogram of Object Count by Image

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

all
Crack Egg
Dirty Egg
Bloodspot
Deformed Egg
GoodEgg
    452 imgs
    226
  • 0
  • 1
  • 2-5
  • 6-9
  • 10-13
  • 14-17
  • 18-21
  • 22-25
  • 26-29
  • 30-33
Count of all objects

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