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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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 ...
WhisperX Automatic Speech Recognition (ASR) with Nemo Speaker Diarization : Speech-to-Text
Automatic Speech Recognition (ASR) is a complex domain within AI, serving as a primary medium that echoes the seamless Human-Machine Interactions depicted in films like Ironman (Jarvis) and HER ...
Introduction to Robotics: A Comprehensive Guide to Robotics for Beginners
Introduction to Robotics: Robotics development has been there for decades, but even after two decades into the 21st century, we are still unable to draw the true potential of robotics, and realize ...
Depth Anything: Accelerating Monocular Depth Perception
Depth Anything represents a groundbreaking advancement in the field of monocular depth perception. This research article outlines the innovative approach taken in designing the Depth Anything model, ...
YOLO Loss Function Part 1: SIoU and Focal Loss
The YOLO (You Only Look Once) series of models, renowned for its real-time object detection capabilities, owes much of its effectiveness to its specialized loss functions. In this article, we delve ...