A dataset of images, used for computer vision tasks, could be the key to success or failure. A clean dataset could lead the way to a great algorithm and model
A visual dataset used for computer vision tasks, could be the key to success or failure. So how do you make sure your algorithm and model are based on strong foundations?
Data Explorer allows you to search the dataset for images that are similar to a certain image. Searching is performed based on the feature vector of each image with no metadata required.
In this blog, we will see how to automatically select a subset of images for training.
Data Explorer manipulates videos, modifies frame rate for faster processing, splits them into scenes and allows for further curation and exploration.
We see how to perform an image based search or a patch based search in a video, and increase the chances of finding results in different scenes.
Data Explorer is a platform that was built to allow us focus on the data, curate it, clean it and make sure we start the development cycles with a great foundation.
Akridata Data Explorer allows users to easily search visual data by grouping images in clusters based on similarities.
Akridata welcomes Chris McBride as CRO who will be responsible for overseeing all go-to-market initiatives, driving company growth and product adoption, and expanding the Akridata brand and market presence.
We can plot the different images based on their similarities or we can
plot them by splitting the video into different scenes.