> For the complete documentation index, see [llms.txt](https://docs.binaexperts.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.binaexperts.com/train/dataset-healthcheck/distribution-of-annotations-based-on-their-size-relative-1.md).

# Distribution of annotations based on their size relative

To create a simple overview chart of the distribution of annotations based on their size relative to their image, you can use a histogram or a bar chart to visualize the distribution of annotation sizes. Here's how you can do it:

1. **Calculate Annotation Sizes**: Determine the size of each annotation relative to its corresponding image. This could be measured in terms of area, bounding box dimensions, or any other relevant metric.
2. **Plot Histogram or Bar Chart**: Create a histogram or a bar chart to visualize the distribution of annotation sizes. Each bar represents a range of annotation sizes, and the height of the bar corresponds to the number of annotations falling within that range.
3. **Add Labels and Titles**: Label the axes and provide a title for the chart to make it clear what the chart represents.

<figure><img src="https://1703512193-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FHyQ97PzHJLIjjc4Xnm9y%2Fuploads%2F4LCVLt9824HJC9jnjQIQ%2FRec%200007.gif?alt=media&amp;token=f18d6704-1a6c-465e-a70e-f51332638e1f" alt=""><figcaption></figcaption></figure>