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urban-classes-detector-6cuwy/1 (latest)
Dataset Analytics
Generated on May 23, 2023 at 10:33 am.
Number of Images
270
Number of Annotations
9,677
Average Image Size
8.29 mp
Median Image Ratio
3840x2160
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
5,739
1,879
970
754
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
250
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
56
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
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
6
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.
All images are the same size, 3840x2160.
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
270
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
pedestrian (5,739)
sitting-ped (754)
bicycle (970)
car (250)
bus (56)
motorbike (1,879)
van (14)
person (6)
sitting-person (9)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
pedestrian
sitting-ped
bicycle
car
bus
motorbike
van
person
sitting-person
-
0
-
1
-
2-8
-
9-15
-
16-22
-
23-29
-
30-36
-
37-43
-
44-50
-
51-57
-
58-64
76 imgs
38