Dataset Analytics
Generated on April 26, 2024 at 9:24 am.
Number of Images
200
Number of Annotations
199
Average Image Size
1.00 mp
Median Image Ratio
1000x1000
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
111
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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
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
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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
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
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
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
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
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, 1000x1000.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
200
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Hikkake Pattern (111)
Tasuki Gap (2)
Three Outside Up-Down (44)
Upside-Downside Gap Three Methods (5)
Three Inside Up-Down (9)
Morning Star (4)
Advance Block (8)
Evening Star (5)
Up-Down Gap Side-by-side White Lines (1)
Three Line Strike (3)
Bearish Harami (1)
Rising-Falling Three Methods (1)
Three Advancing White Soldiers (1)
Unique 3 River (2)
Evening Doji Star (2)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Hikkake Pattern
Tasuki Gap
Three Outside Up-Down
Upside-Downside Gap Three Methods
Three Inside Up-Down
Morning Star
Advance Block
Evening Star
Up-Down Gap Side-by-side White Lines
Three Line Strike
Bearish Harami
Rising-Falling Three Methods
Three Advancing White Soldiers
Unique 3 River
Evening Doji Star
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0
-
1
199 imgs
99.5