Dataset Analytics
Generated on January 01, 2024 at 2:18 pm.
Number of Images
500
Number of Annotations
515
Average Image Size
0.11 mp
Median Image Ratio
370x273
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
59
53
52
51
50
50
50
50
50
50
49
43
43
40
38
39
34
41
44
42
6
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
8
4
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
3
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
4
4
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
5
5
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 (370x273).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
138
square
23
wide
339
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
TrafficLight (53)
NoParking (52)
NoPedestrian (50)
StopSign (50)
NoEntry (59)
SpeedBreaker (50)
NoUTurn (50)
NoHorn (50)
NoRightTurn (50)
NoLeftTurn (51)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
TrafficLight
NoParking
NoPedestrian
StopSign
NoEntry
SpeedBreaker
NoUTurn
NoHorn
NoRightTurn
NoLeftTurn
-
1
-
2
-
3
-
4
488 imgs
244