Dataset Analytics
Generated on March 10, 2024 at 9:15 am.
Number of Images
838
Number of Annotations
3,980
Average Image Size
0.11 mp
Median Image Ratio
400x281
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
3,148
713
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
2242
471
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
570
157
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
336
85
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
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 (400x281).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
259
square
33
wide
545
very wide
1
> 1.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
with_mask (3,148)
without_mask (713)
mask_weared_incorrect (119)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
with_mask
without_mask
mask_weared_incorrect
-
1
-
2-13
-
14-25
-
26-37
-
38-49
-
50-61
-
62-73
-
74-85
-
86-97
-
98-109
-
110-121
463 imgs
231.5