Dataset Analytics
Generated on May 13, 2024 at 6:24 pm.
Number of Images
1,189
Number of Annotations
8,454
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
all
train
valid
test
2,028
1,878
1,804
1,080
818
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
663
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
183
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
1362
1504
1251
969
735
589
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
157
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
238
300
10
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
28
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
20
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
666
136
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
253
101
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
55
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
54
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
10
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
108
square
510
wide
564
very wide
7
> 1.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
h (1,804)
s (1,080)
helmet (1,878)
vh (663)
safety-vest (818)
people (2,028)
v (183)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
h
s
helmet
vh
safety-vest
people
v
-
1
-
2-24
-
25-47
-
48-70
-
71-93
-
94-116
-
117-139
-
140-162
-
163-185
-
186-208
-
209-231
996 imgs
498