Dataset Analytics
Generated on July 06, 2023 at 9:22 am.
Number of Images
157
Number of Annotations
2,139
Average Image Size
0.18 mp
Median Image Ratio
473x375
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
1,194
497
301
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
147
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
826
397
223
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
97
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
368
100
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
78
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
50
Add more images with this class to improve the model's ability to learn and predict it.
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.
The purple box indicates the median width by median height image (473x375).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
1
wide
156
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
crystal (1,194)
pinpoint (497)
cloud (301)
feather (147)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
crystal
pinpoint
cloud
feather
-
1
-
2-11
-
12-21
-
22-31
-
32-41
-
42-51
-
52-61
-
62-71
-
72-81
-
82-91
-
92-101
90 imgs
45