aplux/Facial-Attribute-Detection

Facial-Attribute-Detection: Object Detection

Facial-Attribute-Detection is a deep learning model designed to identify multiple attributes from facial images, such as age, gender, expressions, and accessories like glasses. Typically based on convolutional neural networks (CNNs), the model extracts facial features from static images and performs multi-label classification. It is widely used in smart surveillance, facial analysis, and personalized services, offering high accuracy and real-time performance.

Source model

• Input shape: 1x3x128x128
• Number of parameters: 11.58M
• Model size: 46.35M
• Output shape: [1x512],[1x32],[1x2],[1x2],[1x2],[1x2]

The source model can be found here

Performance Reference

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Inference & Model Conversion

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License

• Source Model: BSD-3-CLAUSE

• Deployable Model: APLUX-MODEL-FARM-LICENSE