You can start by choosing your own datasets or using our PyimageSearch’s assorted library of useful datasets.īring data in any of 40+ formats to Roboflow, train using any state-of-the-art model architectures, deploy across multiple platforms (API, NVIDIA, browser, iOS, etc), and connect to applications or 3rd party tools. Sign up or Log in to your Roboflow account to access state of the art dataset libaries and revolutionize your computer vision pipeline. Roboflow has free tools for each stage of the computer vision pipeline that will streamline your workflows and supercharge your productivity. A curated dataset library would provide the necessary diversity, ensuring your models can accurately predict ages from various demographics. In this tutorial, you will learn how to perform automatic age detection/prediction using OpenCV, Deep Learning, and Python.Īge detection models need a vast range of facial data across all age groups.
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