Dataset Analytics
Generated on November 18, 2023 at 2:29 pm.
Number of Images
339
Number of Annotations
3,865
Average Image Size
0.62 mp
Median Image Ratio
786x783
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
2,515
1,026
324
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1709
647
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
324
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
469
154
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
337
225
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 (786x783).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
6
square
322
wide
11
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
broken-area (1,026)
cleaned-area (2,515)
to-be-cleaned (324)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
broken-area
cleaned-area
to-be-cleaned
-
0
-
1
-
2-16
-
17-31
-
32-46
-
47-61
-
62-76
-
77-91
-
92-106
-
107-121
-
122-136
-
137-151
222 imgs
111