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bottle-cap-h5rom/2 (latest)
Dataset Analytics
Generated on July 05, 2023 at 1:25 am.
Number of Images
49
Number of Annotations
87
Average Image Size
1.23 mp
Median Image Ratio
1280x1280
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
17
13
12
10
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
6
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
13
6
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
3
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
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
2
1
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
2
0
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 (1280x1280).
49
> 1024x1024
1280px
1280px
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
28
wide
21
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
bottle-cap-农 (17)
bottle-农 (12)
bottle-cap-雪 (10)
bottle-雪 (5)
bottle-味 (6)
bottle-cap-味 (6)
bottle-可乐 (13)
bottle-cap-可乐 (18)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
bottle-cap-农
bottle-农
bottle-cap-雪
bottle-雪
bottle-味
bottle-cap-味
bottle-可乐
bottle-cap-可乐
-
0
-
1
-
2
-
3
-
4
30 imgs
15