Foundation models in Artificial Intelligence are becoming increasingly important. The term started picking up pace in the field of NLP and now, with the Segment Anything Model, they are slowly getting ...
In this post, we will learn how to perform semantic image segmentation using pre-trained models available in TensorFlow Hub. TensorFlow Hub is a library and platform designed for sharing, ...
Document Scanning is a background segmentation problem that can be solved using various methods. It is one of the extensively used applications of computer vision. In this article, we are considering ...
If you are a Harry Potter fan like me, you would know what an Invisibility Cloak is. Yes! It's the cloak which Harry Potter uses to become invisible. Of course, we all know that an invisibility cloak ...
In Computer Vision, the term "image segmentation" or simply "segmentation" refers to dividing the image into groups of pixels based on some criteria. A segmentation algorithm takes an image as ...
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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
