Xiamen International Plaza

8/F, 8/F, International Bank Tower Centre, 8 Lujiang Road, Siming District, Xiamen, china, 361001

This premium business centre is located on the 8th floor of International Plaza, a 37th storey landmark on Lujiang Road in Xiamen's CBD. Situated next to the water and opposite of Gulangyu, the famous scenic island of Xiamen, Lujiang Road has become the Bund in Xiamen and a popular place for relaxation. Major clients in the building include companies in financial investmen, professional services, logistics, import and export, electronics and IT. Nearby amenities include Bank of China, Industrial and Commercial Bank of China, Xiamen Millennium Harbourview Hotel and Xiamen Wyndham Hotel. The centre is conveniently located with easy access to sea, land and air transportation. Ferry terminals are just minutes away from the building. The BRT (Bus Rapid Transit) station is nearby and it is only 15 minutes away by BRT to Xiamen Railway Station. Direct passenger trains are available from Xiamen to Shanghai, Nanjing, Hefei, Fuzhou, Nanchang and Yingtan. There are over 60 domestic and international destinations to and from Xiamen Gaoqi International Airport.

Subcategories (4)

OpenCV

OpenCV
Machine Vision

Machine Vision
Image Analysis

Image Analysis
Face Recognition

Face Recognition

Explore Our Courses

Edge AI for Computer Vision: Real-Time Image Processing

 21 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at intermediate-level to advanced-level computer vision engineers, AI developers, and IoT professionals who wish to implement and optimize computer vision models for real-time processing on edge devices. By the end of this training, participants will be able to:
  • Understand the fundamentals of Edge AI and its applications in computer vision.
  • Deploy optimized deep learning models on edge devices for real-time image and video analysis.
  • Use frameworks like TensorFlow Lite, OpenVINO, and NVIDIA Jetson SDK for model deployment.
  • Optimize AI models for performance, power efficiency, and low-latency inference.
Read more...

Computer Vision with Google Colab and TensorFlow

 21 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab. By the end of this training, participants will be able to:
  • Build and train convolutional neural networks (CNNs) using TensorFlow.
  • Leverage Google Colab for scalable and efficient cloud-based model development.
  • Implement image preprocessing techniques for computer vision tasks.
  • Deploy computer vision models for real-world applications.
  • Use transfer learning to enhance the performance of CNN models.
  • Visualize and interpret the results of image classification models.
Read more...

Computer Vision for Autonomous Driving

 21 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications.By the end of this training, participants will be able to:
  • Understand the fundamental concepts of computer vision in autonomous vehicles.
  • Implement algorithms for object detection, lane detection, and semantic segmentation.
  • Integrate vision systems with other autonomous vehicle subsystems.
  • Apply deep learning techniques for advanced perception tasks.
  • Evaluate the performance of computer vision models in real-world scenarios.
Read more...

AI Facial Recognition Development for Law Enforcement

 21 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at beginner-level law enforcement personnel who wish to transition from manual facial sketching to using AI tools for developing facial recognition systems. By the end of this training, participants will be able to:
  • Understand the fundamentals of Artificial Intelligence and Machine Learning.
  • Learn the basics of digital image processing and its application in facial recognition.
  • Develop skills in using AI tools and frameworks to create facial recognition models.
  • Gain hands-on experience in creating, training, and testing facial recognition systems.
  • Understand ethical considerations and best practices in the use of facial recognition technology.
Read more...

Fiji: Image Processing for Biotechnology and Toxicology

 14 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples. By the end of this training, participants will be able to:
  • Navigate the Fiji interface and utilize ImageJ’s core functions.
  • Preprocess and enhance scientific images for better analysis.
  • Analyze images quantitatively, including cell counting and area measurement.
  • Automate repetitive tasks using macros and plugins.
  • Customize workflows for specific image analysis needs in biological research.
Read more...

Vision Builder for Automated Inspection

 35 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at intermediate-level professionals who wish to use Vision Builder AI to design, implement, and optimize automated inspection systems for SMT (Surface-Mount Technology) processes.By the end of this training, participants will be able to:
  • Set up and configure automated inspections using Vision Builder AI.
  • Acquire and preprocess high-quality images for analysis.
  • Implement logic-based decisions for defect detection and process validation.
  • Generate inspection reports and optimize system performance.
Read more...

YOLOv7: Real-time Object Detection with Computer Vision

 21 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at intermediate to advanced-level developers, researchers, and data scientists who wish to learn how to implement real-time object detection using YOLOv7. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of object detection.
  • Install and configure YOLOv7 for object detection tasks.
  • Train and test custom object detection models using YOLOv7.
  • Integrate YOLOv7 with other computer vision frameworks and tools.
  • Troubleshoot common issues related to YOLOv7 implementation.
Read more...

Deep Learning for Vision with Caffe

 21 Hours
Caffe is a deep learning framework made with expression, speed, and modularity in mind. This course explores the application of Caffe as a Deep learning framework for image recognition using MNIST as an example Audience This course is suitable for Deep Learning researchers and engineers interested in utilizing Caffe as a framework. After completing this course, delegates will be able to:
  • understand Caffe’s structure and deployment mechanisms
  • carry out installation / production environment / architecture tasks and configuration
  • assess code quality, perform debugging, monitoring
  • implement advanced production like training models, implementing layers and logging
Read more...

Fiji: Introduction to Scientific Image Processing

 21 Hours
Fiji is an open-source image processing package that bundles ImageJ (an image processing program for scientific multidimensional images) and a number of plugins for scientific image analysis. In this instructor-led, live training, participants will learn how to use the Fiji distribution and its underlying ImageJ program to create an image analysis application. By the end of this training, participants will be able to:
  • Use Fiji's advanced programming features and software components to extend ImageJ
  • Stitch large 3d images from overlapping tiles
  • Automatically update a Fiji installation on startup using the integrated update system
  • Select from a broad selection of scripting languages to build custom image analysis solutions
  • Use Fiji's powerful libraries, such as ImgLib on large bioimage datasets
  • Deploy their application and collaborate with other scientists on similar projects
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

Computer Vision with OpenCV

 28 Hours
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. Audience This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
Read more...

Python and Deep Learning with OpenCV 4

 14 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning. By the end of this training, participants will be able to:
  • View, load, and classify images and videos using OpenCV 4.
  • Implement deep learning in OpenCV 4 with TensorFlow and Keras.
  • Run deep learning models and generate impactful reports from images and videos.
Read more...

OpenFace: Creating Facial Recognition Systems

 14 Hours
OpenFace is Python and Torch based open-source, real-time facial recognition software based on Google's FaceNet research. In this instructor-led, live training, participants will learn how to use OpenFace's components to create and deploy a sample facial recognition application. By the end of this training, participants will be able to:
  • Work with OpenFace's components, including dlib, OpenVC, Torch, and nn4 to implement face detection, alignment, and transformation
  • Apply OpenFace to real-world applications such as surveillance, identity verification, virtual reality, gaming, and identifying repeat customers, etc.
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Read more...

Pattern Matching

 14 Hours
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not. Format of the Course
  • This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
Read more...

Computer Vision with Python

 14 Hours
Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility. In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python. By the end of this training, participants will be able to:
  • Understand the basics of Computer Vision
  • Use Python to implement Computer Vision tasks
  • Build their own face, object, and motion detection systems
Audience
  • Python programmers interested in Computer Vision
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Read more...

Raspberry Pi + OpenCV for Facial Recognition

 21 Hours
This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition. The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc. By the end of this training, participants will be able to:
  • Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi.
  • Configure OpenCV to capture and detect facial images.
  • Understand the various options for packaging a Rasberry Pi system for use in real-world environments.
  • Adapt the system for a variety of use cases, including surveillance, identity verification, etc.
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
Read more...

Scilab

 14 Hours
Scilab is a well-developed, free, and open-source high-level language for scientific data manipulation. Used for statistics, graphics and animation, simulation, signal processing, physics, optimization, and more, its central data structure is the matrix, simplifying many types of problems compared to alternatives such as FORTRAN and C derivatives. It is compatible with languages such as C, Java, and Python, making it suitable as for use as a supplement to existing systems. In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing. By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge. Audience
  • Data scientists and engineers, especially with interest in image processing and facial recognition
Format of the course
  • Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
Read more...

Computer Vision with SimpleCV

 14 Hours
SimpleCV is an open source framework — meaning that it is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and IP cameras, or mobile phones. It’s helps you build software to make your various technologies not only see the world, but understand it too. Audience This course is directed at engineers and developers seeking to develop computer vision applications with SimpleCV.
Read more...

Real-Time Object Detection with YOLO

 7 Hours
This instructor-led, live training in Xiamen (online or onsite) is aimed at back-end developers and data scientists who wish to incorporate pre-trained YOLO models into their enterprise-driven programs and implement cost-effective components for object-detection. By the end of this training, participants will be able to:
  • Install and configure the necessary tools and libraries required in object detection using YOLO.
  • Customize Python command-line applications that operate based on YOLO pre-trained models.
  • Implement the framework of pre-trained YOLO models for various computer vision projects.
  • Convert existing datasets for object detection into YOLO format.
  • Understand the fundamental concepts of the YOLO algorithm for computer vision and/or deep learning.
Read more...

Last Updated:

Testimonials (2)

Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.

Anthea King - WesCEF

Course - Computer Vision with Python

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

Course - Computer Vision with OpenCV

Upcoming Courses

Python and Deep Learning with OpenCV 4

2025-06-30 09:30
14 hours
Xiamen International Plaza

Edge AI for Computer Vision: Real-Time Image Processing

2025-07-14 09:30
21 hours
Xiamen International Plaza

Fiji: Introduction to Scientific Image Processing

2025-07-28 09:30
21 hours
Xiamen International Plaza

Real-Time Object Detection with YOLO

2025-08-08 09:30
7 hours
Xiamen International Plaza

Other regions in China

Other Countries

These courses are also available in other countries

Consulting

Computer Vision Consulting
Online Computer Vision training in Xiamen, Computer Vision training courses in Xiamen, Weekend Computer Vision courses in Xiamen, Evening Computer Vision training in Xiamen, Computer Vision instructor-led in Xiamen, Evening Computer Vision courses in Xiamen, Computer Vision instructor in Xiamen, Online Computer Vision training in Xiamen, Computer Vision trainer in Xiamen, Computer Vision classes in Xiamen, Computer Vision coaching in Xiamen, Computer Vision on-site in Xiamen, Computer Vision one on one training in Xiamen, Weekend Computer Vision training in Xiamen, Computer Vision private courses in Xiamen, Computer Vision instructor-led in Xiamen, Computer Vision boot camp in Xiamen