Build computer vision systems from image processing to real-time object detection. Use YOLO, MediaPipe, and deploy models as APIs.
Student builds a simple image processing pipeline using OpenCV, demonstrating understanding of basic image manipulation techniques, such as resizing and filtering.
Student builds an object detection system using a pre-trained YOLO model, proving ability to work with pre-trained models and detect objects in images.
Student builds a hand tracking system using Mediapipe, demonstrating understanding of gesture recognition and tracking techniques.
Student builds a basic image classification model using TensorFlow and Keras, proving ability to build and train a neural network for image classification tasks.
Student builds a face detection and recognition system using OpenCV and Haar cascades, demonstrating understanding of face detection and recognition techniques.
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