What is image classification? - Python Tutorial

- [Lecturer] Image Classification is a task of assigning an entire image a label from a predefined set of categories. For example, given a photo, an image classification model could classify it as either that of a fish, a dog, a cat, or a bird, depending on which label from its predefined list best matches the image content. Image classification is useful when you only need to know what's labeled to assign to an entire image rather than where objects are located on an image or what their exact shape is. Along with the predictive class label, the output of an image classifier usually includes a confidence score that reflects the model's certainty in its prediction. Some real-world examples of image classification include classifying medical images such as "Labeling X-rays as healthy or diseased", "Identifying plant species from photographs of leaves", and "Recognizing handwritten digits in postal codes or forms". Convolutional Neural Networks are especially well-suited for image…