Dataset Analytics
Generated on September 05, 2024 at 2:01 pm.
Number of Images
918
Number of Annotations
1,424
Average Image Size
0.07 mp
Median Image Ratio
256x256
square
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
532
358
208
178
132
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
16
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
384
241
149
132
99
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
14
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
84
81
41
25
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
19
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
64
36
18
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
21
14
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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 (256x256).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
29
square
658
wide
231
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
no person (358)
man (532)
women (208)
car (178)
person (132)
child (16)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
no person
man
women
car
person
child
-
0
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
643 imgs
321.5