To get started in computer vision, familiarize yourself with the basics of image processing and algorithms. Begin by learning tools like OpenCV for tasks such as edge detection, object tracking, and image filtering.
Progress to machine learning and deep learning concepts, focusing on architectures like convolutional neural networks (CNNs). Use frameworks like TensorFlow or PyTorch to build and train models for computer vision tasks.
Work on small projects, such as object detection or facial recognition, and explore datasets like ImageNet or COCO for hands-on practice. Free courses and tutorials can further guide your learning journey.