Machine Learning Space

Multi-Object Tracking (MOT) is an essential task in computer vision that involves tracking multiple objects in both recorded videos and real-time live-streaming scenarios. As a longstanding goal in computer vision and machine learning, MOT is becoming increasingly important and widely applied in various fields, including autonomous driving, traffic monitoring and flow counting, and many more. MOT plays a crucial role in autonomous driving. Its primary function involves tracking the trajectories…

In certain scenarios, object detection algorithms such as YOLO, Faster R-CNN, and SSD may generate redundant and overlapping bounding boxes. Therefore, to ensure accurate detection results and retain only the most confident ones, it is crucial to implement a mechanism capable of identifying and selecting the most appropriate bounding boxes while discarding the overlapping ones. To achieve this objective, we can use a method called Non-Maximum Suppression (NMS), a post-processing…

Unlock the fascinating world of Multi-Object Tracking (MOT) with my comprehensive, practical book, "Beginner's Guide to Multi-Object Tracking with Kalman Filter". Whether you're a student, a computer vision practitioner, a…

If you wish to add transparent overlay labels to your detected bounding boxes without covering the underlying image, using transparent text overlay can be a great solution. A transparent text…

Learn the step-by-step process to load and visualize the COCO dataset with custom code. Discover how to prepare the COCO object detection dataset to improve knowledge in object detection algorithm.

Today, we will cover IoU (Intersection over Union) and how to implement it in Python. If you are new to the field of object detection, understanding of IoU and knowing…

In this tutorial, we will learn how to create a custom dataset class by inheriting from the Pytorch abstract class torch.utils.data.Dataset. We will use the MNIST handwritten dataset as an…

Let's learn about one of important topics in the field of Machine learning, a very-well-known algorithm, Gradient descent. Gradient descent is a widely-used optimization algorithm that optimizes the parameters of…