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oral_problems_detection/1 (latest)
Dataset Analytics
Generated on May 09, 2023 at 11:24 am.
Number of Images
607
Number of Annotations
11,669
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
3,452
2,503
2,319
1,251
898
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
304
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
284
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
134
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.
All images are the same size, 640x640.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
square
607
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
crown (898)
Preferbricated post (524)
Root canal Obturatien (2,503)
Caries (3,452)
composite filling (1,251)
Apical Abcsess (284)
Amalgam filling (2,319)
residual root (304)
implant (134)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
crown
Preferbricated post
Root canal Obturatien
Caries
composite filling
Apical Abcsess
Amalgam filling
residual root
implant
-
0
-
1
-
2-8
-
9-15
-
16-22
-
23-29
-
30-36
-
37-43
-
44-50
-
51-57
-
58-64
146 imgs
73