Deep learning is transforming computer vision by automating feature extraction and achieving high accuracy in complex tasks. Convolutional neural networks (CNNs) enable models to detect patterns like edges, shapes, and objects directly from raw data, eliminating manual preprocessing.
Applications like image classification, object detection (e.g., YOLO, Faster R-CNN), and segmentation (e.g., U-Net) benefit from deep learning’s ability to learn hierarchical representations. Pre-trained models and transfer learning further simplify implementation and enhance performance.
Industries like healthcare, autonomous vehicles, and retail leverage these advancements for tasks such as diagnostics, navigation, and personalized marketing, showcasing the profound impact of deep learning on computer vision.