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Learning path

Computer Vision

Images as arrays, filters, edges and contours, and object detection with YOLO, with animated films and runnable Python. Part of the Data Scientist premium track.

Start with lesson 1
  1. 1

    Computer Vision Basics: Images as Arrays

    How computers store images as arrays of pixels, colour channels (RGB vs BGR), grayscale, resizing, cropping, thresholding and drawing, with NumPy and Pillow you can run, plus the…

    2 min read
  2. 2

    Filters, Edges and Contours

    Blur to remove noise, detect edges with Sobel and Canny, clean shapes with morphology, and find and count objects with contours, with runnable NumPy/SciPy and the OpenCV calls.

    3 min read
  3. 3

    Object Detection with YOLO

    Detect and locate many objects in one pass with YOLO: bounding boxes, confidence, IoU, non-max suppression and mAP, running a pretrained model and training on your own images.

    3 min read