IBM Watson Visual Recognition
Tag and classify visual content using machine learning
IBM Watson Visual Recognition is a powerful AI tool that helps users identify and accurately tag, classify, and train image content using advanced machine learning. IBM Watson Visual Recognition comes with numerous pre-trained models, including general, text, explicit, food, and can even be programmed to recognize custom classes. For example, within the food model, users can search and find any type of food; meanwhile, the explicit model allows you to analyze whether an image contains inappropriate content. IBM Watson Visual Recognition is a valuable tool for use within various industries, including manufacturing, visual auditing, restaurant&catering, and insurance. Some of the key features of IBM Watson Visual Recognition include custom object detection, custom classification, content filtering, auto labeling, and Watson Studio-a simple, user-friendly tool to help manage and label images with training data and process them to help build your customized computer vision model.