Image Classification Techniques

Image classification techniques involve teaching computers to recognize and categorize images based on their visual features. This process often uses machine learning models like neural networks, which analyze patterns such as shapes, colors, and textures within an image. The model learns from labeled examples during training, enabling it to predict the category of new, unseen images accurately. Techniques include simple algorithms like logistic regression for basic tasks, to complex deep learning methods like convolutional neural networks (CNNs) that excel at understanding intricate visual details. Overall, these methods automate the process of identifying objects, scenes, or concepts in images.