Skip to main content

Computer Vision with Deep Learning

Computer vision: CNN, object detection with YOLO, image segmentation, GANs, ViT, medical imaging, autonomous driving, and vision model deployment on edge devices.

This series collects 10 articles (approximately 163 minutes of total reading time), designed for a level Advanced. The main topics covered are Computer Vision, CNN, YOLO, object detection.

10Articles163 minTotal reading timeAdvancedLevel
Computer VisionCNNYOLOobject detectionViT

Series Articles

  1. 1

    01 - CNN Fundamentals: Architecture, Training, Deployment

    Complete guide to CNN Fundamentals: Architecture, Training, Deployment: architecture, practical implementation and best practices for developers and technical teams.

  2. 2

    02 - Transfer Learning: Fine-tuning ResNet and Vision Models

    Complete guide to Transfer Learning: Fine-tuning ResNet and Vision Models: architecture, practical implementation and best practices for developers and technical teams.

  3. 3

    03 - YOLO26: Real-Time Object Detection

    Complete guide to YOLO26: Real-Time Object Detection: architecture, practical implementation and best practices for developers and technical teams.

  4. 4

    04 - Object Detection vs Segmentation: Tasks and Techniques

    Complete guide to Object Detection vs Segmentation: Tasks and Techniques: architecture, practical implementation and best practices for developers and technical teams.

  5. 5

    05 - Image Segmentation: Semantic, Instance, Panoptic

    Complete guide to Image Segmentation: Semantic, Instance, Panoptic: architecture, practical implementation and best practices for developers and technical teams.

  6. 6

    06 - Image Augmentation: Techniques to Prevent Overfitting

    Complete guide to Image Augmentation: Techniques to Prevent Overfitting: architecture, practical implementation and best practices for developers and technical teams.

  7. 7

    07 - Building CV Pipelines: OpenCV Integration with PyTorch

    Complete guide to Building CV Pipelines: OpenCV Integration with PyTorch: architecture, practical implementation and best practices for developers and technical teams.

  8. 8

    08 - Deploying YOLO26 on Edge: Raspberry Pi and Jetson

    Complete guide to Deploying YOLO26 on Edge: Raspberry Pi and Jetson: architecture, practical implementation and best practices for developers and technical teams.

  9. 9

    09 - Face Detection and Recognition: MediaPipe and Beyond

    Complete guide to Face Detection and Recognition: MediaPipe and Beyond: architecture, practical implementation and best practices for developers and technical teams.

  10. 10

    10 - Anomaly Detection with Computer Vision in Manufacturing

    Complete guide to Anomaly Detection with Computer Vision in Manufacturing: architecture, practical implementation and best practices for developers and technical teams.

Test your knowledge!

Have you read all the articles? Check how much you've learned by taking this series' quizzes.

Take the quiz!