SigLIP 2 fine-tune for age groups
According to the model card, the model is fine-tuned from google/siglip2-base-patch16-512 to classify estimated age groups.
Open Source Model Profile · prithivMLmods
open-age-detection
open-age-detection is a 92.89M-parameter SigLIP 2 image-classification fine-tune from prithivMLmods. According to the model card, it classifies images into five age groups.
- Publisher
- prithivMLmods
- Task
- image-classification
- Model type
- siglip
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
open-age-detection is published by prithivMLmods as a SigLIP image-classification model. The captured configuration identifies SiglipForImageClassification and Safetensors metadata reports 92,888,069 parameters. According to the model card, it was fine-tuned from google/siglip2-base-patch16-512 to classify estimated age groups.
Recorded capabilities
Five documented age labels
According to the model card, the label space covers Child 0-12, Teenager 13-20, Adult 21-44, Middle Age 45-64, and Aged 65+.
92.89M SigLIP with Transformers
The captured configuration reports SiglipForImageClassification with model type siglip and 92,888,069 parameters, with Transformers support.
Reported classification report and Gradio code
According to the model card, the publisher reports a classification report with 0.9691 accuracy and documents Gradio inference code.
Use cases in the source record
- Estimated age-group classification of person images into the five documented labels.
- According to the model card, demographic-analysis workflows that estimate age groups for statistical or analytical applications.
Limitations and unknowns
- No independent evaluation results were extracted; the card-reported classification figures have not been verified by Ethen.
- Provider state is historical snapshot data, not independently refreshed current availability.
- Training, label, and intended-use information comes from the publisher model card and has not been independently verified by Ethen.
Source and provenance
Source: prithivMLmods/open-age-detection
Captured: Unknown. Processed: 2026-09-07T19:36:00.504971+00:00.
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. SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786 Classification Report: precision recall f1-score support Child 0 - 12 0.9827 0.9859 0.9843 2193 Teenager 13 - 20 0.9663 0.8713 0.9163 1779 Adult 21 - 44 0.9669 0.9884 0.9775 9999 Middle Age…
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