Dataset Analytics

Generated on July 18, 2024 at 4:25 am.

Number of Images

5,289
0 missing annotations

Number of Annotations

5,294
1.0 per image (average)
Across 8 classes

Average Image Size

0.05 mp
from to 0.05 mp
to 0.05 mp

Median Image Ratio

224x224
square

Class Balance

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

Classes

all
train
valid
test
Happiness
1,323
Angry
872
Sadness
712
Surprise
702
Fear
532
Neutrality
520
Disgust
429
Under Represented
Contempt
204
Under Represented
Happiness
1060
Angry
688
Sadness
568
Surprise
563
Fear
422
Neutrality
428
Disgust
334
Under Represented
Contempt
172
Under Represented
Happiness
131
Angry
96
Sadness
75
Surprise
70
Fear
53
Neutrality
41
Under Represented
Disgust
48
Under Represented
Contempt
15
Under Represented
Happiness
132
Angry
88
Sadness
69
Surprise
69
Fear
57
Neutrality
51
Disgust
47
Under Represented
Contempt
17
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, 224x224.

Aspect Ratio Distribution

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

square
5,289

Annotation Heatmap

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

all
Happiness (1,323)
Neutrality (520)
Sadness (712)
Fear (532)
Angry (872)
Surprise (702)
Contempt (204)
Disgust (429)

Histogram of Object Count by Image

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

all
Happiness
Neutrality
Sadness
Fear
Angry
Surprise
Contempt
Disgust
    5280 imgs
    2640
  • 0
  • 1
  • 2
Count of all objects

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