Face Analyzer by Eachlabs

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.

Face Verification

Age and Gender Estimation

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

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}}

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.

Detect facial expressions with high accuracy.

Predict individuals' age, gender, and ethnicity.

Provide detailed facial analysis for various use cases.

Authentication and identity verification systems.

Creative applications such as character design or storytelling.

Enhancing image quality for professional or artistic projects

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.

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