Dataset Analytics

Generated on October 10, 2024 at 11:01 am.

Number of Images

1,052

Number of Annotations

5,091

Average Image Size

7.96 mp

Median Image Ratio

3456x2304
wide

Class Balance

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

Classes

all
train
valid
test
2,021
1,807
bib
1,237
1
14
Under Represented
2
9
Under Represented
0
3
Under Represented
1689
1504
bib
1053
1
14
Under Represented
2
9
Under Represented
0
3
Under Represented
163
141
bib
74
1
0
Missing
2
0
Missing
0
0
Missing
169
162
bib
110
1
0
Missing
2
0
Missing
0
0
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.

The purple box indicates the median width by median height image (3456x2304).

1,052
> 1024x1024
3456px
2304px

Aspect Ratio Distribution

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

tall
31
wide
1,021

Annotation Heatmap

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

0 (3)
1 (14)
2 (9)
all
person (2,021)
face (1,807)
bib (1,237)

Histogram of Object Count by Image

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

0
1
2
all
person
face
bib
    561 imgs
    280.5
  • 0
  • 1
  • 2-4
  • 5-7
  • 8-10
  • 11-13
  • 14-16
  • 17-19
  • 20-22
  • 23-25
  • 26-28
Count of all objects

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