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pv-computer-vision-datasets/6 (latest)
Dataset Analytics
Generated on April 02, 2023 at 12:45 pm.
Number of Images
4,036
Number of Annotations
5,838
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
2,945
2,526
170
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
117
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
63
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
17
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 (640x640).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
791
square
2,009
wide
1,227
very wide
8
> 1.5:1
extremely wide
1
> 2.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
faulty (2,526)
no faulty (2,945)
dirty (170)
Browning (63)
clean (117)
Damaged (17)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
faulty
no faulty
dirty
Browning
clean
Damaged
-
0
-
1
-
2-7
-
8-13
-
14-19
-
20-25
-
26-31
-
32-37
-
38-43
-
44-49
-
50-55
3382 imgs
1691