Dataset Analytics

Generated on June 01, 2024 at 4:41 am.

Number of Images

2,789
0 missing annotations
0 null examples

Number of Annotations

2,987
1.1 per image (average)
Across 6 classes

Average Image Size

0.41 mp
from to 0.00 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
angry
747
sad
612
tired
538
happy
394
surprised
364
Under Represented
neutral
332
Under Represented
angry
537
sad
434
tired
348
happy
294
surprised
207
Under Represented
neutral
253
Under Represented
angry
210
sad
178
tired
190
happy
100
Under Represented
surprised
157
neutral
79
Under Represented
angry
0
Missing
sad
0
Missing
tired
0
Missing
happy
0
Missing
surprised
0
Missing
neutral
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 (640x640).

tiny
33
< 100x100
small
188
medium
571
large
1,191
jumbo
806
> 1024x1024
640px
640px

Aspect Ratio Distribution

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

tall
1,005
square
1,484
wide
298
very wide
2
> 1.5:1

Annotation Heatmap

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

all
neutral (332)
angry (747)
sad (612)
surprised (364)
happy (394)
tired (538)

Histogram of Object Count by Image

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

all
neutral
angry
sad
surprised
happy
tired
    2596 imgs
    1298
  • 1
  • 2
  • 3
  • 4
  • 5
Count of all objects

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