Data Explorer now provides a text interface where you simply type what are searching for, and Data Explorer will provide the relevant images.
By defining the Region of Interest within visual datasets, organizations can better train their computer vision models and improve their accuracy, image segmentation, and data tracking and analysis.
Akridata recently hosted a webinar highlighting the challenges data scientists working with visual data often face and how Data Explorer solves these challenges But, not all visual data is created equal. Data quality varies greatly when it comes to visual datasets, and common issues like data noise, misleading color contrast and imaging, and occlusion that […]
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?
Discover how Data Explorer's image-based search and patch search simplify dataset curation for computer vision tasks. Find relevant data quickly and efficiently.
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.
Learn how Data Explorer simplifies dataset curation for computer vision tasks. Filter and visualize metadata to enhance algorithm and model development.