Clone the Repoīefore getting started, clone the repo at /AntonMu/TrainYourOwnYOLO to your local machine. If you just want to learn more about training YOLO v3, you can also use the cat images already contained in the accompanying GitHub repo. For instance, if you’d like to detect fidget spinners in images with fidget spinners, do a Google Image search for “fidget spinner” and save the resulting images. If you already have an image dataset, you are good to go and can proceed to the next step! If you need to create an image dataset first, consider using a Chrome extension such as Fatkun Batch Downloader which lets you build your own dataset easily. Given the omnipresence of cat images on the internet, this is clearly a long-awaited and extremely important feature! But even if you don’t care about cats, by following these exact same steps, you will be able to build a YOLO v3 object detection algorithm for your own use case. ![]() Our input data set are images of cats (without annotations).Īs an example, we learn how to detect faces of cats in cat pictures.
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