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object-detection-2-mhkdw/6 (latest)
Dataset Analytics
Generated on April 14, 2024 at 6:35 pm.
Number of Images
316
Number of Annotations
321
Average Image Size
0.20 mp
Median Image Ratio
512x384
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
141
137
39
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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Under Represented
98
97
28
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
28
26
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
15
14
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
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 (512x384).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
18
wide
298
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
metal-foil (39)
plastic (141)
metal-can (137)
metal-plate (4)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
metal-foil
plastic
metal-can
metal-plate
-
1
-
2
-
3
312 imgs
156