Build a visual recognition system that can identify and classify objects in images. This project combines computer vision techniques with machine learning, covering image preprocessing, feature extraction, and classification models.
Visual recognition is a cornerstone of modern AI, powering applications from autonomous vehicles to medical imaging. Building your own system gives you hands-on experience with convolutional neural networks, transfer learning, and the full pipeline from raw pixels to predictions.