Dataset Analytics
Generated on January 29, 2024 at 7:32 pm.
Number of Images
400
Number of Annotations
1,170
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
322
315
191
108
67
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
57
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
52
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
11
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
322
315
191
108
67
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
57
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
52
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
11
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
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
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
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
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
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
0
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
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
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
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 (640x640).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
37
square
235
wide
128
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
1 HardHat (322)
9 Gloves (315)
11 Boot (191)
2 NO-HardHat (57)
5 SafetyGlasses (108)
0 Person (67)
6 NO-SafetyGlasses (38)
12 NO-Boot (11)
10 NO-Gloves (52)
13 SafetyHarness (9)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
1 HardHat
9 Gloves
11 Boot
2 NO-HardHat
5 SafetyGlasses
0 Person
6 NO-SafetyGlasses
12 NO-Boot
10 NO-Gloves
13 SafetyHarness
-
1
-
2-4
-
5-7
-
8-10
-
11-13
-
14-16
-
17-19
-
20-22
165 imgs
82.5