To start a computer vision application, first define the task, such as object detection, facial recognition, or image segmentation. Select a programming language (e.g., Python) and familiarize yourself with libraries like OpenCV, TensorFlow, or PyTorch.
Begin with simple projects, such as detecting edges using OpenCV’s cv2.Canny() or building a basic image classifier with a pre-trained model like MobileNet. Progress to more advanced tasks as you gain confidence.
Utilize online resources, such as tutorials, datasets (e.g., COCO, ImageNet), and beginner-friendly platforms like Kaggle, to build practical experience.