Скачать с ютуб Object detection app using YOLOv8 and Android в хорошем качестве

Object detection app using YOLOv8 and Android

In this comprehensive tutorial, learn the complete process of training, testing, and exporting object detection models to TensorFlow Lite format for integration into mobile apps. Follow along as we delve into the intricacies of model training, validation, and optimization, ensuring optimal performance for real-world applications. GitHub: https://github.com/AarohiSingla/Objec... Email: [email protected] We'll start by guiding you through the process of training your own YOLOv8 object detection model using popular frameworks like TensorFlow and Keras. Gain insights into dataset preparation, model architecture selection, and fine-tuning parameters to achieve accurate object detection results. Once your model is trained and tested, we'll walk you through the crucial steps of exporting it to TensorFlow Lite format. Understand the nuances of model conversion, ensuring seamless compatibility with mobile platforms while preserving performance and efficiency. But that's not all! This tutorial goes beyond model creation, diving into the realm of mobile app development. Discover how to leverage Android Studio to create a custom Android app for object detection. We'll provide a step-by-step guide, from project setup to integrating the TensorFlow Lite model into your Android application. By the end of this video, you'll have the skills and knowledge to embark on your own object detection journey, creating powerful mobile applications capable of real-time detection and recognition. Don't miss out on this comprehensive guide to building cutting-edge object detection solutions for Android devices! #objectdetection #computervision #yolov8 #yolo