Face Analyzer by Eachlabs

1019-face-analyzer

Face Analyzer by Each AI is an AI model that detects and analyzes gender, age, and race prediction.

Fast Inference
REST API

Model Information

Response Time~16 sec
StatusActive
Version
0.0.1
Updatedabout 1 month ago
Live Demo
Average runtime: ~16 seconds

Input

Configure model parameters

Output

View generated results

Result

Preview, share or download your results with a single click.

{
  "age": 25,
  "gender": "Woman",
  "race": "white"
}
Each execution costs $0.008 With $1 you can run this model about 125 times.

Overview

Eachlabs' Face Analyzer is an advanced deep learning model designed to analyze and process facial images for various purposes, such as age estimation and identity verification. This model leverages state-of-the-art algorithms to deliver accurate and efficient results.

Technical Specifications

Face Verification

Age and Gender Estimation

Facial Feature Analysis (e.g., race and ethnicity)

Key Considerations

Image Quality:

  • Low-quality images or low resolutions may lead to inaccurate predictions.

If the output is in the format { "age": 25, "gender": "Woman", "race": "white" } and you need to access each value individually in the next steps, select the parameter in the input and write the keyword you want to access after placing a period.

Example:

{{step1.output.age}}

{{step1.output.gender}}

{{step1.output.race}}

Tips & Tricks

    Make sure there is only one person in the photo.

    The person's face should be clearly visible in the photo, with no shadows or half-face visible.

Capabilities

    Detect facial expressions with high accuracy.

    Predict individuals' age, gender, and ethnicity.

    Provide detailed facial analysis for various use cases.

What can I use for?

    Authentication and identity verification systems.

    Creative applications such as character design or storytelling.

    Enhancing image quality for professional or artistic projects

Things to be aware of

Environmental Factors:

The model may struggle in extreme lighting conditions or with occlusions (e.g., sunglasses, masks).

Age Progression:

The model may not reliably predict or verify faces across significant age differences (e.g., comparing a child to an adult).

Non-Facial Variations:

Accessories, hairstyles, or cultural facial features may affect predictions.

Limitations

    The model performs best on frontal face images captured under good lighting conditions.

    Results may vary with extreme facial angles or occlusions.

    Output Format: Text