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Introduction

This lab covers typical application scenarios of computer vision (Computer Vision, abbreviated as CV), providing detailed training processes, including data annotation, model training, model call and deployment, to help students quickly get started and master relevant knowledge and skills.

Enterprise Positions: Data Collection and Annotation Engineer, Artificial Intelligence Training Engineer, Artificial Intelligence Application Development Engineer

Applicable Majors: Artificial Intelligence Engineering Technology/Computer-related majors

Course Products: Computer Vision Application, Deep Learning Application Development

Project Products: Automatic License Plate Detection and Recognition Based on YOLOv5 and LPRNet, Human Fall Detection Based on Pose Recognition and Action Recognition, Cartoon Style Transfer of Portrait Based on GAN, Traffic Sign Recognition Based on ResNet and MobileNet, Automatic Lane Detection for Autonomous Driving

Intelligent Hardware: OpenCV-OAK Artificial Intelligence Camera (Multi-Mode Camera), Calibration Card Kit (Imaging Card), Recognition Kit - Traffic Sign Plate and License Plate, etc.

Applicable Scenes: Professional Teaching, Integrated Training, Competition Training

Integration of Theory and Practice

• With a complete and proven course resource
• Including various granularity of experimental resources
• Including training project resources from enterprises

Technology Coverage is Comprehensive

The lab covers typical applications of CV, providing detailed training processes, including data annotation, model training, model call and deployment, to help students quickly get started and master relevant knowledge and skills.