Fine-tuning YOLOv10 models for enhancing kidney stone detection, significantly reduces diagnosis time from 15-25 minutes per report to processing ~150 reports per second. Targeting medical ...
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ROS 2 and Carla Setup Guide for Ubuntu 22.04
This is the third part of the Robotics Blog Series, focusing on a comprehensive ROS 2 and Carla setup guide for Ubuntu 22.04. We'll begin by installing the Terminator terminal, followed by the ...
Understanding Visual SLAM for Robotics Perception: Building Monocular SLAM from Scratch in Python OpenCV
Introduction to Monocular SLAM: Have you ever wondered how Tesla's Autonomous Vehicle views its surroundings and understands its position, and makes smart decisions to reach its target ...
Enhancing Image Segmentation using U2-Net: An Approach to Efficient Background Removal
U2-Net (popularly known as U2-Net) is a simple yet powerful deep-learning-based semantic segmentation model that revolutionizes background removal in image segmentation. Its effective and ...
YOLOv10: The Dual-Head OG of YOLO Series
The classy YOLO series has a new iteration, YOLOv10, a new object detection model. The YOLO series is one of the most used models in the computer vision industry. So, what is YOLOv10? We will explore ...
Fine-tuning Faster R-CNN on Sea Rescue Dataset – Small Object Detection: PyTorch
Detecting small objects in aerial imagery, particularly for critical applications like sea rescue, presents unique challenges. Timely detection of people in the water can mean the difference between ...
