What are the applications of deep learning in computer vision?
Deep learning has numerous applications in computer vision, including image classification, object detection, and facial recognition.
Can you explain how deep learning improves image classification?
Deep learning models, especially convolutional neural networks (CNNs), learn hierarchical features from images, allowing for more accurate classification.
What about real-time object detection?
Real-time object detection uses models like YOLO (You Only Look Once) to identify and classify objects in images or video streams instantly.
Are there any challenges in using deep learning for vision tasks?
Yes, challenges include the need for large labeled datasets, computational resources, and potential biases in training data.
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