Home▸Machine Learning & Neural Networks▸YOLO: Real-Time Object Detection in a Single Glance

🎯 YOLO: Real-Time Object Detection in a Single Glance

Explore how YOLO detects every object in an image in one neural network pass, turning slow region-by-region scanning into real-time video-speed object detection.

Machine Learning & Neural Networks3DModerate60 FPS

A 3D scene where a grid overlays a live-style camera view, showing how each cell simultaneously predicts bounding boxes and class confidences before non-maximum suppression filters them into final detections.

🔬 What It Demonstrates

🎮 How to Use

Choose a scene, adjust the confidence threshold and grid density with the sliders, and press play to watch raw predictions collapse into clean, labeled bounding boxes in real time.

💡 Did You Know?

The original YOLO paper reported running at 45 frames per second, fast enough to process live video, while a smaller variant called Fast YOLO reached over 150 frames per second by trading some accuracy for even greater speed.

⚙ Under the hood

Watch a single forward pass generate candidate bounding boxes across a scene, then filter them by confidence and non-max suppression down to the final detections.

yoloobject detectioncomputer visionreal-timemachine-learningnon-max suppression

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install