Identify likely gender by hand using AI
Below is a free classifier to identify likely gender by hand. Just upload your image, and our AI will predict which gender it is - in just seconds.
Please use a close-up of one hand only
How this classifier works
To start, upload your image. Our AI tool will then predict which gender it is.
This pretrained image model uses the Hands and Palms Dataset dataset and is built with 11000 samples across 2 labels, including Male or Female.
We'll also show a confidence score (the higher the number, the more confident the AI model is of which gender it is).
Whether you’re a tech-minded palm reader, just curious, or building likely gender by hand detection into your application, we hope our classifier proves helpful.
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Need to identify likely gender by hand at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail: Personalize product recommendations based on palm scans at store kiosks. Improve shopping experiences by tailoring suggestions to customer preferences.
- Healthcare: Refine dosage calculations for medications that have different effects based on biological sex. Improve patient outcomes by providing more precise treatments.
- Fitness: Customize workout plans and equipment settings in gyms using palm scanners. Optimize exercise routines for individuals based on their physiological characteristics.
- Market Research: Analyze consumer behavior patterns by gender in touchscreen-based surveys. Gain insights into demographic trends without relying on self-reported data.
- Biometrics: Strengthen multi-factor authentication systems by incorporating gender information from palm scans. Increase security measures for high-risk applications or facilities.
- Ergonomics: Design gender-specific tools and equipment based on palm size and shape data. Improve comfort and reduce workplace injuries by creating better-fitted items.
- Human-Computer Interaction: Develop more intuitive user interfaces that adapt to gender-based interaction patterns. Create software and devices that respond to user preferences more effectively.