Labeling rules based on image visualization
Image classification is the process of categorizing an image into one or more classes based on its content. It is a challenging task due to the high variability and complexity of images. In recent years, machine learning techniques have been applied to image classification with great success. However, machine learning models require a large amount of labeled data to train effectively.
Image labeling using rules with Snorkel
Snorkel is an open source data platform that provides a way to generate large amounts of labeled data using weak supervision techniques. Weak supervision allows you to label data with noisy or incomplete sources of supervision, such as heuristics, rules, or patterns.
Snorkel primarily operates within the paradigm of weak supervision rather than traditional semi-supervised learning. Snorkel is a framework designed for weak supervision, where the labeling process may involve noisy, limited, or imprecise rules rather...
