Pytorch

When you train YOLOv8 on custom dataset, you turn a general-purpose object detector into a specialist that understands exactly the objects you care about.Instead of relying on COCO’s people, cars, and dogs, you can teach YOLOv8 to recognise things like playing cards, medical instruments, or products on a shelf with high speed and accuracy. The […]

Bringing object detection from YouTube video into focus Object detection from youtube video is all about teaching your code to “see” what is happening inside an online video stream.Instead of manually downloading a file and running offline analysis, you connect directly to a YouTube URL, grab each frame in real time, and let a deep

Getting started with YOLOv8 dental object detection In modern dentistry, X-rays are no longer just static images on a screen. With yolov8 dental object detection, those images can be transformed into structured data that highlights teeth, restorations, lesions, and other findings automatically. Instead of manually scanning every millimeter of a radiograph, a trained YOLOv8 model

Understanding EigenCAM in Deep Learning EigenCAM is a visualization technique that helps you see where a neural network is focusing when it makes a decision. Instead of treating a deep model as a black box, EigenCAM uses the internal activations of a convolutional neural network (CNN) to create a heatmap that highlights the most influential

Getting Ready to Train YOLOv5 on a Custom Dataset Training YOLOv5 on a custom dataset is one of the most powerful ways to move from “toy examples” to real-world computer vision solutions. Instead of relying only on generic datasets like COCO, you can train yolov5 on a custom dataset that reflects your exact problem: boats

Getting comfortable with a Detectron2 object detection tutorial A detectron2 object detection tutorial is all about turning raw images into meaningful, labeled scenes using one of Facebook AI’s most powerful computer vision libraries.Instead of hand-writing complex neural networks from scratch, you stand on the shoulders of pre-trained models like Faster R-CNN and ResNet, and focus