The recent trend in developing larger and larger Deep Learning models for a slight increase in accuracy raises concerns about their computational efficiency and wide scaled usability. We can not use ...
YOLOv5: Expert Guide to Custom Object Detection Training
In this article, we are fine tuning YOLOv5 models for custom object detection training and inference. Introduction The field of deep learning started taking off in 2012. Around that time, it ...
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 ...
Disparity Estimation Using Deep Learning
A conventional video or picture captures the three-dimensional world in two dimensions, losing crucial information regarding depth, which many applications now demand. Depth estimation is a ...
Top 10 Sources to Find Computer Vision and AI Models
The AI community generously shares code, model architectures, and even models trained on large datasets. We are standing on the shoulders of giants, which is why the industry is adopting AI so ...
Multi-Attribute and Graph-based Object Detection
In this post, we will discuss an object detection approach that leverages the understanding of the objects' structure and the context of the image by enumerating objects' characteristics and ...
