Tipps for getting started with object/keypoint detection

As I mentioned earlier, Jeremy gives an awesome introduction to Object Detection in his 2018 course that you can find on youtube. I really appreciate the incremental way that he builds up an intuitive understanding. The only downside is it’s using an older version of the fast ai library.

So I started a new blog series using Jeremy’s stepwise approach but updating everything to use the current version of FastAI. Where I incrementally show you how to build a YOLO/SSD single-shot detector. It will probably be 4 or so articles…

  1. Get a suitable dataset (Pascal VOC) and build a largest object classifier
  2. Build a bounding box predictor for the largest object.
  3. Combine largest object classification and bounding box prediction.
  4. Full Single Shot Detector (SSD/YOLO)

I’ve tweeted it out here if anyone you would like to check it out and maybe give me a like :slight_smile:

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