Computer Vision Basics

Get started with computer vision tasks using modern deep learning approaches.

Usage

Describe your computer vision task to get model and approach recommendations.

Examples

• "Build an image classifier for product categories"
• "Set up object detection for a security camera feed"
• "Choose a pre-trained model for medical image analysis"

Guidelines

• Start with transfer learning from pre-trained models
• Use data augmentation to increase effective training data
• Normalize images consistently during training and inference
• Choose architecture based on speed vs accuracy trade-offs
• Validate with diverse test data representing real-world conditions