Technologies / Artificial Intelligence

YOLOv7: Object Detection in Computer Vision

The training deepens knowledge of the latest version of the YOLO algorithm - YOLOv7, focusing on the practical aspects of its implementation in vision systems. Participants will learn advanced model tuning techniques and optimization methods for various industrial applications. The program is implemented in the form of intensive workshops, where theory is immediately verified in practical implementations.

Issues

YOLOv7 architecture
Advanced training techniques
Optimization of deep learning models
Transfer learning
Edge computing
Quantization of models
Pruning of neural networks
Performance monitoring
Model management
Deployment on edge devices
Integration with industrial systems
Validation of models in production

Benefits

Advanced knowledge of YOLOv7 architecture
Ability to tune models for specific applications
Practical experience in model optimization
Ability to implement solutions in a production environment
Knowledge of performance monitoring techniques
Ability to manage models in production

Who is this training for?

AI engineers specializing in computer vision

Developers of object detection systems

Specialists in industrial process automation

Developers of video surveillance systems

AI solution architects

R&D engineers in the vision industry

Prerequisites

Advanced knowledge of deep learning
Experience in the implementation of neural networks
Practical knowledge of PyTorch
Knowledge of computer vision

Training program

Innovations at YOLOv7
Mechanisms of attention
Strategies for training models
Advanced training techniques
Prepare your own datasets

Transfer learning strategies
Regularization techniques
Optimization and tuning

Quantization techniques

Optimizing inference performance
Implementation and monitoring
Deployment on edge devices
Integration with industrial systems
Performance monitoring
Model management in production

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For YOLOv7: Object Detection in Computer Vision we recommend: Advanced knowledge of deep learning; Experience in the implementation of neural networks; Practical knowledge of PyTorch.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: AI engineers specializing in computer vision; Developers of object detection systems; Specialists in industrial process automation.