Model overview
> **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+" The **Age-Classification-SigLIP2** model is designed to classify images into five age categories. Potential use cases include:
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。