Computer Vision Analysis Training Lab
Introduction
This Lab covers typical application scenarios of Computer Vision (CV for short), and provides detailed training process, including steps such as data labeling, model training, model invocation and deployment, to help students quickly get started and master relevant knowledge and skills.
Applicable Majors: Artificial Intelligence/Intelligent Science and 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 posture recognition and action recognition, portrait cartoon style transfer based on GAN, traffic sign recognition based on ResNet and MobileNet, automatic lane line detection of automatic driving
Intelligent Hardwares: OpenCV-OAK Artificial Intelligence camera (multi-mode camera), Calibration card kit (imaging card),Recognition kit - traffic signs and license plates, etc
Application Scenarios: professional teaching, comprehensive practical training, competition training
Features
Integration of theory and practice
• There are well-established and tested curriculum resources
• Includes laboratory resources in a variety of particle sizes
• Including the practical training project resources to the enterprise
Comprehensive technology coverage
• The training lab covers typical application scenarios of CV and provides detailed training process, including steps such as data labeling, model training, model invocation and deployment, to help students quickly get started and master relevant knowledge and skills.
This Lab covers typical application scenarios of Computer Vision (CV for short), and provides detailed training process, including steps such as data labeling, model training, model invocation and deployment, to help students quickly get started and master relevant knowledge and skills.
Applicable Majors: Artificial Intelligence/Intelligent Science and 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 posture recognition and action recognition, portrait cartoon style transfer based on GAN, traffic sign recognition based on ResNet and MobileNet, automatic lane line detection of automatic driving
Intelligent Hardwares: OpenCV-OAK Artificial Intelligence camera (multi-mode camera), Calibration card kit (imaging card),Recognition kit - traffic signs and license plates, etc
Application Scenarios: professional teaching, comprehensive practical training, competition training
Features
Integration of theory and practice
• There are well-established and tested curriculum resources
• Includes laboratory resources in a variety of particle sizes
• Including the practical training project resources to the enterprise
Comprehensive technology coverage
• The training lab covers typical application scenarios of CV and provides detailed training process, including steps such as data labeling, model training, model invocation and deployment, to help students quickly get started and master relevant knowledge and skills.
