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 ...
Fine Tuning YOLOv7 on Custom Dataset
Since its inception, the YOLO family of object detection models has come a long way. YOLOv7 is the most recent addition to this famous anchor-based single-shot family of object detectors. It comes ...
YOLOv4 and Darknet For Pothole Detection
In this blog post, we will be training YOLOv4 object detection model on a pothole detection dataset using the Darknet framework. Before we move further, let’s have an overview of the models that ...
Demystifying GPU Architectures For Deep Learning: Part 2
IntroductionAI specific features in recent NVIDIA GPUs2.1 Pascal microarchitecture (2016)2.2 Volta microarchitecture (2018)2.3 Turing microarchitecture (Late 2018)2.4 Ampere microarchitecture ...
Demystifying GPU Architectures For Deep Learning – Part 1
IntroductionCUDA programming model2.1 What is CUDA?2.2 Introduction to some important CUDA conceptsImplementing a dense layer in CUDASummary 1. Introduction A few months ago, we covered the ...
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 ...