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In this video tutorial, the presenter will show how to create a custom object detector that detects a koala, but users can choose any other object. The process involves three steps - image preparation for training with Yolo, uploading images to Google servers for processing using free Google cloud GPU, and testing the model to ensure its accuracy. The image data set should contain numerous images of the object to be trained, such as the 350 koala images used in this example. Stay tuned for more details on Google Collab and Google cloud GPU.
