open age detection open age detection is a vision language encoder model fine tuned from google/siglip2 base patch16 512 for multi class image classification . It is trained to classify the estimated age group of a person from an image. The model uses the SiglipForImageClassification architecture. \[!note] SigLIP 2: Multilingual Vision Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786 Label Space: 5 Age Groups Install Dependencies Inference Code Demo Inference Intended Use open age detection is designed for: Demographic Analysis – Estimate age groups for statistical or analytical applications. Smart Personalization – Age based content or product recommendation. Access Control – Assist systems requiring age verification. Social Research – Study age related trends in image datasets. Surveillance and Security – Profile age ranges in monitored environments.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy