Dataset Analytics
Generated on June 01, 2024 at 4:41 am.
Number of Images
2,789
Number of Annotations
2,987
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
747
612
538
394
364
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
332
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
537
434
348
294
207
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
253
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
210
178
190
100
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
157
79
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
0
This class is missing from the split. Add more images with this class to balance the
dataset.
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).
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
-
1
-
2
-
3
-
4
-
5
2596 imgs
1298