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Traffic Sign Recognition

Object Detection

Dataset Analytics

Generated on April 26, 2023 at 10:45 am.

Number of Images

0 missing annotations

0 null examples

Number of Annotations

1.0 per image (average)

Across 10 classes

Average Image Size

0.01 mp

from to 0.00 mp

to 0.03 mp

Median Image Ratio

74x79

tall

Class Balance

Overview of the number of annotations for each class in your dataset.

Classes

Men at Work

No Entry

Pedestrian

Roundabout Mandatory

Slippery Road

Speed Limit

Stop

Turn Left Ahead

Turn Right Ahead

Yield

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 (74x79).

tiny

< 100x100

small

74px

79px

Aspect Ratio Distribution

The aspect ratio of your images compares the width vs. the height of your images.

tall

square

wide

Annotation Heatmap

Overview of where your annotations are located in the images in your dataset.

all

Yield (3)

Slippery Road (3)

Stop (3)

Turn Right Ahead (3)

Men at Work (3)

Turn Left Ahead (3)

Roundabout Mandatory (3)

Speed Limit (3)

Pedestrian (3)

No Entry (3)

Histogram of Object Count by Image

Overview of how many classes are annotated in each image in your dataset.

all