To start a career in computer vision, build a strong foundation in programming (e.g., Python) and mathematics (e.g., linear algebra, probability). Learn the basics of image processing using libraries like OpenCV and Scikit-image.
Transition to advanced topics by exploring deep learning frameworks like TensorFlow and PyTorch. Work on projects such as object detection, image classification, or segmentation using pre-trained models like YOLO or ResNet. Practice on datasets like CIFAR-10, COCO, or ImageNet.
Participate in competitions like Kaggle to showcase your skills. Pursue relevant certifications or a degree in AI or computer vision. Networking with professionals and attending conferences like CVPR can open doors to job opportunities.