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 ...
A Step-by-Step Tutorial on Image Segmentation using Tensorflow Hub
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, ...
DeepLabv3 & DeepLabv3+ The Ultimate PyTorch Guide
DeepLab models, first debuted in ICLR ‘14, are a series of deep learning architectures designed to tackle the problem of semantic segmentation. After making iterative refinements through the years, ...
Document Segmentation Using Deep Learning in PyTorch
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 ...
Intersection over Union (IoU) in Object Detection & Segmentation
Intersection Over Union (IoU) is a number that quantifies the degree of overlap between two boxes. In the case of object detection and segmentation, IoU evaluates the overlap of the Ground Truth and ...
AUTOSAR C++ compliant deep learning inference with TensorRT
If you are unfamiliar with safety compliance and are debating whether or not to read this blog post, let’s answer the most important question first. Why should you read this blog post?What can we ...
