Dataset Comparison

Rendered.ai offers a service for comparing the imagery between two datasets using a dimensionality reduction technique. The way our service works is that we first gather features using a Feature Pyramid Network to determine what Object Detection models are seeing in images at different levels of feature size. Then we reduce those features using UMAP as a dimensionality reduction technique for visualizing datasets in a 2D or 3D space. We generate an interactive 3D plot where users can click on data points to view images. Using this, users can compare the imagery of two or more datasets and infer what is making them similar or different.

Creating a UMAP Job

To start, we will need to navigate to the Dataset Library page of our workspace and select the datasets we would like to compare, then click the compare button.

In the next dialog we can name our UMAP comparison, determine which dataset will be used as the fit dataset and how many images to sample from each dataset for comparison.

Clicking on the Compare button will start a new UMAP job.

Once the UMAP page has loaded, it will show an interactive 3D plot. You can click on each data point to get information about the image.