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Technologies / Artificial Intelligence

Real-time object detection with YOLO

The training focuses on the implementation of a real-time object detection system using the YOLO algorithm. Participants will learn the theoretical basics of the algorithm and gain practical skills in its implementation and customization. The workshop includes working with real data and optimizing system performance.

Issues

  • YOLO algorithm

  • Object detection

  • Real-time processing

  • Optimization of models

  • Working with a video stream

  • Transfer learning

  • Configuration of models

  • Performance analysis

  • Deployment of systems

  • Integration with cameras

  • Monitoring of systems

  • Solving performance problems

Benefits

  • Practical knowledge of the YOLO algorithm
  • Ability to implement real-time detection
  • Ability to optimize models
  • Experience working with video data
  • Knowledge of video stream processing techniques
  • Ability to implement production systems

Who is this training for?

Vision systems programmers
AI engineers working with object detection
Computer vision specialists
Real-time application developers
Robotics engineers
Monitoring systems analysts

Prerequisites

  • Basic knowledge of deep learning
  • Experience in Python programming
  • Basics of computer vision
  • Knowledge of image processing issues

Training program

01

Algorithm architecture

  • Comparison with other detectors
  • Preparation of the environment
02

Model configuration

  • Implementation and customization
  • Working with pretreated models
  • Adaptation to custom object classes
03

Parameter optimization

  • Video stream processing
04

Practical applications

  • Camera integration
05

Real-time processing

  • Performance analysis
  • Implementation in applications
  • Optimization and implementation
  • Techniques for accelerating inferencia
  • Deployment on different platforms
06

Performance monitoring

  • Troubleshooting

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 Real-time object detection with YOLO we recommend: Basic knowledge of deep learning; Experience in Python programming; Basics of computer vision.

What is the format and duration of this training?

The training lasts 1 day 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: Vision systems programmers; AI engineers working with object detection; Computer vision specialists.

Klaudia Janecka
Klaudia Janecka Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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