Build an Object Detection App with TensorFlow and Flask

Ever wondered how computers can find and identify objects in images? This course takes you beyond the theory and guides you through building a practical web application that brings computer vision to life. You will create a complete object detection service from the ground up. You'll learn to use powerful libraries like TensorFlow and OpenCV to process images, and then wrap your machine learning model in a web interface with Flask, making it accessible to anyone with a browser. What you'll learn: - Understand the fundamental concepts of computer vision and object detection. - Apply pre-trained deep learning models using TensorFlow for efficient object recognition. - Process and manipulate images with OpenCV to draw bounding boxes and display labels. - Build a functional web application from scratch using the Flask framework. - Create a user-friendly interface to handle image uploads and display the results. - Integrate your TensorFlow model into a Flask backend to create a complete ML service. - Practice setting up a clean Python environment for reproducible project development. The course starts with core terminology and concepts, then moves step-by-step through model integration and web development, culminating in a finished, interactive application. This course is designed for beginners. A basic understanding of Python is all you need to get started. No prior experience with machine learning or web development is required. Start building your first computer vision project today.