Computer Vision

Master computer vision concepts through interactive visualizations. Learn how computers see and understand images.

Interactive Visualizations

Explore computer vision algorithms step by step

Image Filters

Beginner

Apply various filters to images and see real-time results

ConvolutionGaussian BlurSharpenEdge Detection

Edge Detection

Intermediate

Understand Sobel, Canny, and other edge detection algorithms

SobelCannyPrewittLaplacian
Coming Soon

Object Detection

Advanced

Learn how neural networks detect objects in images

YOLOR-CNNBounding BoxesNMS
Coming Soon

Image Segmentation

Advanced

Visualize semantic and instance segmentation techniques

U-NetMask R-CNNSemantic SegmentationInstance Segmentation
Coming Soon

Key Concepts

Convolution Operations

Learn how convolution kernels extract features from images through sliding windows and mathematical operations.

Feature Extraction

Understand how neural networks identify patterns, edges, and complex features in visual data.

Object Recognition

Explore how models detect and classify objects using bounding boxes and confidence scores.

Image Segmentation

Discover techniques for pixel-level classification and separating objects from backgrounds.

Discussion