3D Object Detection: PointNet vs VoxelNet for LiDAR Data

The rapid advancement of autonomous vehicles, robotics, and augmented reality applications has created an unprecedented demand for accurate 3D object detection systems. At the heart of these technologies lies LiDAR (Light Detection and Ranging) data processing, which provides precise three-dimensional information about the surrounding environment. Two groundbreaking neural network architectures have emerged as frontrunners in … Read more

Building a Custom Object Detection Model Using YOLO

Object detection has become one of the most exciting areas in computer vision, with applications ranging from autonomous vehicles to security systems. Among the various algorithms available, YOLO (You Only Look Once) stands out due to its real-time performance and impressive accuracy. In this post, we’ll walk through everything you need to know about building … Read more

How to Label Image for Object Detection

Object detection has become one of the most exciting and important areas of computer vision. Whether you’re training a self-driving car to detect pedestrians or building an AI app that recognizes plant species, accurate image labeling is critical for high model performance. If you’re wondering “how to label image for object detection”, this detailed guide … Read more

Object Detection in Python: Comprehensive Guide

Object detection is one of the most exciting applications of computer vision and deep learning. It allows machines to identify and locate objects within images or videos, enabling technologies like autonomous driving, surveillance systems, and augmented reality. Python, with its robust ecosystem of libraries like OpenCV, TensorFlow, and PyTorch, provides an excellent platform for implementing … Read more