nateraw/vit-age-classifier is a fine-tuned Vision Transformer (ViT) model trained on the FairFace dataset. It classifies the apparent age group of faces in images. The model can be used via the Hugging Face Transformers pipeline for image-classification or loaded directly with AutoImageProcessor and AutoModelForImageClassification. It is provided with example inference code and is suitable for integration into applications requiring demographic analysis from photos.
In the Other AI space, Vit Age Classifier takes a focused approach. Automatically determining a person's age from a facial photograph. It is built as an open-source project for developers and researchers. Vit Age Classifier is open source under the Open Source license. Vit Age Classifier is available on the web and API.
nateraw builds and maintains Vit Age Classifier, and the product first shipped in 2022. Key capabilities include Image Classification, Vision Transformer, and Age Detection.
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