Ultralytics & Computer Vision For Developers

Course Master Index

Welcome to the course slides. Select a module below to start learning.

🖼️ Preparatory Module

• Digital Image Foundations
  How computers perceive images.
  Learn about pixels, color channels, coordinate systems, and the basics behind digital cameras and computer vision libraries.

  Labs:

  • Images as N-Dimensional Arrays (NumPy)
  • Image Processing with Pillow

🚀 Ultralytics YOLO Foundations

• Part 1: Tasks & Inference
  Discover what YOLO can do out of the box.
  Covers running inference for Object Detection, Instance Segmentation, Classification, and Pose Estimation using CLI and Python.

  Labs:

  • YOLO Tasks & Inference

• Part 2: Real World Use Cases & Solutions
  Beyond bounding boxes: actionable insights.
  Solutions for region analytics, kinematic tracking, video heatmaps, and setting up external integrations.

• Part 3: Custom Data & Training
  Teaching the model your custom data.
  Proper data formatting, utilizing labeling tools natively, setting hyperparameters, and initiating training runs.

• Part 4: Evaluation & Deployment
  How good is your model and how to use it?
  Understanding confusion matrices, IoU, Precision, Recall, mAP metrics, and exporting to optimized formats like ONNX.