Cell-Phone Custom-Object-Detection-v2-Roboflow

Object Detection

Dataset Analytics

Generated on August 19, 2022 at 2:30 pm.

Number of Images

2,177

Number of Annotations

3,144

Average Image Size

0.17 mp

Median Image Ratio

416x416
square

Class Balance

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

Classes

3,144

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, 416x416.

Aspect Ratio Distribution

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

square
2,177

Annotation Heatmap

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

all
Mobile_phone (3,144)

Histogram of Object Count by Image

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

all
Mobile_phone
    1750 imgs
    875
  • 1
  • 2-8
  • 9-15
  • 16-22
  • 23-29
  • 30-36
  • 37-43
  • 44-50
  • 51-57
  • 58-64
Count of all objects

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