Age Classification SigLIP2 Age Classification SigLIP2 is an image classification vision language encoder model fine tuned from google/siglip2 base patch16 224 for a single label classification task. It is designed to predict the age group of a person from an image using the SiglipForImageClassification architecture. The model categorizes images into five age groups: 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 Age Classification SigLIP2 model is designed to classify images into five age categories. Potential use cases include: Demographic Analysis: Helping businesses and researchers analyze age distribution. Health & Fitness Applications: Assisting in age based health recommendations. Security & Access Control: Implementing age verification in digital systems. Retail & Marketing: Enhancing personalized customer experiences. Forensics & Surveillance: Aiding in age estimation for security purposes.
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