From Region Proposals and Haar Cascades to Zero-Shot Techniques — Object detection algorithms have advanced from early computer vision to deep learning, utilizing various methods in modern systems for accurate detection. This blog post serves as a subsequent installment in my ongoing series titled “The Evolution of Object Detection: From Region Proposals and Haar Cascades to Zero-Shot Techniques.”

From Region Proposals and Haar Cascades to Zero-Shot Techniques — In modern systems, object detection algorithms have greatly improved from early computer vision to deep learning, using a range of methods for precise detection. This blog post is part of an ongoing series titled “The Evolution of Object Detection: From Region Proposals and Haar Cascades to Zero-Shot Techniques.” For a…

From Region Proposals and Haar Cascades to Zero-Shot Techniques — Object detection algorithms have advanced from early computer vision to deep learning, utilizing various methods in modern systems for accurate detection. This blog post serves as a following chapter in my ongoing series titled “The Evolution of Object Detection: From Region Proposals and Haar Cascades to Zero-Shot Techniques”. For a…

A visual explanation of the Accuracy, Precision, Recall, F1-Score, ROC Curve, and AUC. — This post will visually describe the problem of understanding concepts such as Accuracy, Precision, Recall, F1-Score, ROC Curve, and AUC, which are part of the development of any classification, detection, segmentation, etc. tasks in machine learning. All the images were created by the author. I would also suggest you read…

Overview of the MobileNet v1, MobileNet v2, MobileNet v3 There’s a lot of material out there about MobileNet architectures. But what is the main difference between all of them, that makes them a constant improvement on the benchmarks? MobileNet Family MobileNet is a mobile neural network architecture, firstly developed by Google in…