Cyclist datection with seeing their number

Object Detection

Dataset Analytics

Generated on November 13, 2023 at 7:51 pm.

Number of Images

4,129

Number of Annotations

8,362

Average Image Size

2.07 mp

Median Image Ratio

1920x1080
wide

Class Balance

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

Classes

all
train
valid
test
Under Represented
Under Represented
Under Represented
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 (1920x1080).

231
3,898
> 1024x1024
1920px
1080px

Aspect Ratio Distribution

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

tall
439
wide
3,690

Annotation Heatmap

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

all
cyclists_database - v5 raw-images_and_cyclists_combined (6,344)
============================== (2,018)

Histogram of Object Count by Image

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

all
cyclists_database - v5 raw-images_and_cyclists_combined
==============================
    2330 imgs
    1165
  • 1
  • 2-3
  • 4-5
  • 6-7
  • 8-9
  • 10-11
  • 12-13
Count of all objects

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