Dataset Analytics

Assess and improve the quality of your dataset.

Dataset Analytics shows a range of statistics about the dataset associated with a project. You can see the following pieces of information:

• Number of images in your dataset;

• Number of annotations;

• Average image size;

• Median image ratio;

• Number of missing annotations;

• Number of null annotations;

• Image dimensions across your dataset;

• Object count histogram, and;

• A heatmap of annotation locations.

Using Dataset Analytics, you can derive a range of insights about your dataset. For example, if you have no null annotations, you may want to consider adding a few depending on the project on which you are working; if there are images with missing annotations, you can dig deeper to add the requisite annotations.

To see Dataset Analytics for a project, click "Analytics" in the left sidebar of a project:

The Dataset Analytics tab will then open:

On this page, you can see:

• A breakdown of the number of classes in the images in your train, test, and valid datasets.

• An overview of the sizes and aspect ratios of the images in your dataset.

• A heatmap showing where most of your annotations are.

• A histogram showing how many classes are annotated in each image in your dataset.