Akridata Data Explorer allows users to easily search visual data by grouping images in clusters based on similarities.

We can plot the different images based on their similarities or we can plot them by splitting the video into different scenes.

Akridata Data Explorer makes it easy to analyze model training results

How to compare various visual datasets in Akridata Data Explorer

How to use the Patch Search feature in Akridata Data Explorer to fine-tune your visual search results

How to search and refine visual datasets in Akridata Data Explorer to get a desired subset of data

How to explore visual data clusters in Akridata Data Explorer and then split into further subgroups or merged together

Reviewing the ways we can explore visual data in Akridata Data Explorer

How to access the features available and customize your own features in Akridata Data Explorer

How to visualize large image or video datasets in Akridata Data Explorer

How to connect, manage, and explore the image and video dataset containers in Akridata Data Explorer

Akridata Data Explorer follows the data-centric AI approach, focusing on providing higher-quality datasets to lower annotation costs and accelerate model training cycles

How to connect, manage, and explore the image and video dataset containers in Akridata Data Explorer

Introducing the edge data platform for the autonomous world.

The Autonomous World is one of the most important endeavors in human history. We’re starting to see it.