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Mobile Phone Detection in School Enviroments

Object Detection

Dataset Analytics

Generated on June 04, 2023 at 1:06 am.

Number of Images

829

Number of Annotations

779
0.9 per image (average)
Across 1 classes

Average Image Size

0.05 mp
from to 0.01 mp
to 0.05 mp

Median Image Ratio

275x183
wide

Class Balance

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

Classes

Phone
779

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 (275x183).

small
61
medium
768
275px
183px

Aspect Ratio Distribution

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

tall
28
square
83
wide
690
very wide
27
> 1.5:1
extremely wide
1
> 2.5:1

Annotation Heatmap

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

all
Phone (779)

Histogram of Object Count by Image

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

all
Phone
    417 imgs
    208.5
  • 0
  • 1
  • 2-4
  • 5-7
  • 8-10
  • 11-13
  • 14-16
  • 17-19
  • 20-22
  • 23-25
Count of all objects

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