fairface_age_image_detection is an AI model developed by dima806. With 11,660,099 downloads and 60 likes on Hugging Face, it has gained significant adoption in the AI community.
This model is categorized as Vision and is designed for image-classification.
Performance benchmarks and evaluation metrics for this model will be added soon. For now, refer to the Hugging Face model card for any available benchmark results.
To run fairface_age_image_detection, you'll need a system with adequate GPU memory. As a Vision model, it typically requires significant VRAM for optimal performance.
For the best experience, consider a Q4KM hard drive pre-loaded with this model.
This model is licensed under Unknown. Please review the specific terms of the license to understand commercial use restrictions and attribution requirements.
For detailed licensing information, visit the Hugging Face repository.
fairface_age_image_detection can be used for various Vision applications. Common use cases include text generation, content creation, and AI-powered solutions.
dima806 is the organization behind fairface_age_image_detection. They contribute to the open-source AI community by providing accessible models for developers and researchers.
Visit their Hugging Face profile to see their other work.
Detailed training methodology and dataset information for this model are available on the Hugging Face model card. Training typically involves large-scale datasets and significant computational resources.
For specific training details, refer to the model's technical documentation.