Supervised Learning

Definition of Supervised Learning as it relates to Technology, Artificial Intelligence, Deep Learning, Computer Vision

Supervised Learning in Computer Vision refers to algorithms that utilize labeled data, where each training example is paired with its correct output, enabling the model to learn patterns from input-output pairs and generalize them to unseen data. It plays a pivotal role within Technology, Artificial Intelligence, Deep Learning, and Computer Vision by allowing machines to accurately classify and predict outcomes based on visual information. This learning method contrasts with unsupervised learning, which deals only with input data and not their associated labels. By leveraging supervision, models can hone their performance in various computer vision tasks such as object detection, image segmentation, and facial recognition, ensuring the delivery of accurate, real-world results across a range of applications.

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