MetaCLIP 2 Age Range Estimator MetaCLIP 2 Age Range Estimator is an image classification vision language encoder model fine tuned from facebook/metaclip 2 worldwide s16 for a single label classification task. It is designed to predict the age range of a person from an image using the MetaClip2ForImageClassification architecture. [!note] MetaCLIP 2: A Worldwide Scaling Recipe : https://huggingface.co/papers/2507.22062 The model categorizes images into five age ranges: Class 0: "Child 0 12" Class 1: "Teenager 13 20" Class 2: "Adult 21 44" Class 3: "Middle Age 45 64" Class 4: "Aged 65+" Run with Transformers Sample Inference: Intended Use: The MetaCLIP 2 Age Range Estimator model is designed to classify images into five age categories. Potential use cases include: Demographic Analysis: Supporting research and business insights into age distribution. Health and Fitness Applications: Assisting in age based health recommendations. Security and Access Control: Enabling age verification systems. Retail and Marketing: Enhancing personalization and customer profiling. Forensics and Surveillance: Supporting age estimation in investigative and security contexts.
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