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Computer Vision

10 short modules. Each one: a simple lesson, two quick games and a 8-question quiz for its own free certificate. Finish them all, then take the full Computer Vision certificate.

0 of 10 module certificates
Start module 1 →
  1. 1Introduction to computer visionComputer vision teaches machines to understand images and video.0/4
  2. 2Image basics with OpenCVLoad, display and transform images in Python.0/4
  3. 3Image processing techniquesFilter, threshold and detect edges.0/4
  4. 4Image classificationLabel whole images with deep learning.0/4
  5. 5Object detectionFind and locate multiple objects with bounding boxes.0/4
  6. 6Image segmentationClassify every pixel to outline objects precisely.0/4
  7. 7Faces, pose and OCRApply CV to faces, human pose and text reading.0/4
  8. 8Video analysisProcess video streams for tracking and action recognition.0/4
  9. 9Data, labelling and augmentationPrepare high-quality image datasets.0/4
  10. 10Deploying vision applicationsShip CV models to apps, edge devices and the cloud.0/4
Final step

🏆 Full Computer Vision certificate

20 questions from basic to advanced, 60% to pass. Best taken after the modules.

Get the full certificate →
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