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: professional core course and professional extension course of computer vision analysis

Project Products: with computer vision analysis as the training goal, around a number of projects such as object detection and recognition, image processing, feature extraction and other technologies

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.