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
Feature
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.