OpenCV Python Tutorial for Beginners
Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems with OpenCV.
OpenCV 3.4 with Python 3 Tutorial
Learn how to use the image-processing power of OpenCV 3 to load, and draw on images, perform basic operations on images, detect objects and apply transformations to your images.
OpenCV Python Tutorials for Beginners
Learn OpenCV Python: from installation to advanced projects like face recognition and object measurement. Hands-on tutorials cover image processing, shape detection, and more.
Cutting Edge Deep Learning for Coders
Explore advanced deep learning techniques including object detection, NLP, neural translation, GANs, and image enhancement. Gain practical skills for cutting-edge AI applications.
Azure Percept - AI IoT Edge Made Easy - Part 1
Explore Azure Percept DK for IoT edge AI: hardware overview, model building, and deployment demos. Hands-on tutorials for object detection and bird classification using Azure Percept Studio.
Use Azure Custom Vision to Repurpose the Lunar Rover
Learn to build an image classifier using Azure Custom Vision to identify objects in images, with hands-on training and testing of an AI model for practical applications.
OpenCV Python Tutorials
Learn essential computer vision techniques using OpenCV in Python, covering image manipulation, video processing, object detection, and facial recognition.
Computer Vision and OpenCV Tutorial in C++
Learn computer vision and OpenCV in C++, covering installation, image processing, object detection, depth estimation, and GPU acceleration. Gain practical skills for real-world applications.
Computer Vision Projects
In this tutorial series, we would be working on hands-on projects using OpenCV and Python.
OpenCV DNN
Learn to deploy neural networks for object detection, depth estimation, and point cloud creation using OpenCV DNN module with Python and C++. Explore GPU acceleration and custom YOLOv5 models.
Computer Vision Using OpenCV Crash Course
Learn OpenCV for computer vision: image processing, transformations, edge detection, contour analysis, and object detection. Hands-on projects included.
YOLOv4 Object Detection Tutorial Series - OpenCV Python Computer Vision
Comprehensive tutorial series on YOLOv4 object detection, covering installation, implementation, and applications in computer vision using OpenCV and Python.
YOLO V4 Object Detection Crash Course
Learn to implement YOLO v4 for object detection: from image labeling and dataset creation to model training and custom object detection, with hands-on coding and practical applications.
YOLO V3 - Robust Deep Learning Object Detection Tutorials
Learn to implement YOLO v3 for robust object detection, from web scraping and dataset annotation to model training and deployment, using OpenCV and Python.
Detectron2 Tutorials
Learn object detection and segmentation using Detectron2, covering installation, data preparation, and implementation with OpenCV and Python for computer vision applications.
TensorFlow Computer Vision Tutorials - OpenCV Python
Learn essential computer vision techniques using TensorFlow and MediaPipe. Build real-time applications for face detection, pose estimation, hand tracking, and object detection with Python and OpenCV.
YOLOR Object Detection Tutorials - You Only Learn One Representation
Learn advanced object detection techniques with YOLOR, covering implementation, optimization, and real-world applications in computer vision and AI. Gain practical skills for various industries.
YOLOX Object Detection
Learn to implement YOLOX object detection, understand its speed and accuracy, explore non-max suppression, and build analytical dashboards using Plotly Dash for computer vision projects.
Using AWS Rekognition from Python
Learn to implement face recognition, object detection, and face comparisons using AWS Rekognition and Python's boto3 module. Covers setup, IAM credentials, and practical demonstrations.
Artificial Intelligence Tutorial for Beginners - What Is AI?
Comprehensive introduction to AI, covering neural networks, NLP, and computer vision. Explores key concepts, applications, and real-world use cases for beginners entering the field of artificial intelligence.
Cloud TPU Pods - AI Supercomputing for Large Machine Learning Problems
Explore Cloud TPU Pods for AI supercomputing, enabling large-scale model parallelism in deep learning. Learn technical details and new TensorFlow features for accelerating machine learning workloads.