Flutter Pipe 1.0.0

This review evaluates the following models utilized for various detection and estimation tasks:

• Face Detection Model: Analyzes and identifies human faces within images, providing a foundational step for subsequent facial analysis.
• Face Landmark Model: Enhances the face detection process by pinpointing specific landmarks on the face, which is essential for applications such as facial recognition and expression analysis.
• Hand Detection Model: Accurately identifies and locates hands in visual data, supporting diverse applications in gesture recognition and interaction simulations.
• Pose Estimation Model: Assesses human body posture by detecting key points, offering valuable insights for motion analysis and augmented reality implementations.