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Create an explore job
The guide below describes creating a data exploration(EXPLORE) job. It uses PASCAL-VOC12 as an example public dataset. This public dataset can be imported per the instructions in Import public dataset .
Updated on : 05 Sep 2024
Jobs page
The Jobs page for different types of jobs is available on the left navigation menu, as highlighted above. The controls on the Jobs page are described below. Jobs Options displayed on the Data Visualization Jobs page: My jobs :&nbs...
Updated on : 05 Sep 2024
Select and Refine
The 'Visualize' operation shows the visualization view with the following elements and controls. Plot View and Sampling Modes The plot view shows the distribution of points with colors representing the clusters and an outlier category of point...
Updated on : 15 Mar 2023
Clustering controls
The job visualization page presents a scatter plot view with images clustered based on their features and embedded into two dimensions. When a visualization job is submitted, the images are internally organized into a hierarchy of clusters. This org...
Updated on : 20 Oct 2023
Compare
Basic Compare The Compare feature allows comparing a set of data objects against a base set of data objects to identify changes and data drift. As an example, you may want to compare how last week's data compares with the last three mont...
Updated on : 18 Aug 2023
Visualize heatmaps
Heatmaps registered in the catalog can be used as auxiliary metadata information within an exploration, analyze or compare jobs. This article describes the required steps. Import heatmap file locations into the catalog as per Import raw file ...
Updated on : 06 Jan 2025
Visualize point cloud data
The Visual Data Copilot platform allows you to import point cloud data into your dataset and visualize it interactively. Point cloud images in PCD format are currently supported. This article describes the steps to view the point cloud data ima...
Updated on : 17 Jan 2025