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.
OpenCV AI Kit Tutorials - OAK-1 and OAK-D
Learn to build cool projects with OpenCV AI Kit and Raspberry Pi, including smart cameras, social distance detection, mask detection, and AI-controlled drones.
OpenCV Programming with the Raspberry Pi
Learn to program OpenCV on Raspberry Pi: installation, image processing, video capture, edge detection, color manipulation, and more. Hands-on tutorials in C++ and Python for practical computer vision skills.
OpenCV Projects - Computer Vision
Learn practical computer vision techniques with OpenCV, including face detection, cursor control, object recognition, and image processing in Python.
Magento 2 Website Optimization
Learn techniques to enhance Magento 2 website performance, including lazy loading, file optimization, caching, and SSL implementation for improved speed and security.
Lightning Lessons - Adobe Spark How-Tos
Aprende a eliminar fondos, deshacer acciones, ajustar tamaños de texto, crear texto curvado, animar texto, agrupar objetos y redimensionar diseños en Adobe Spark.
OSINT Training
Comprehensive OSINT training covering domain analysis, threat detection, reconnaissance tools, search engine mastery, and network scanning techniques for enhanced cybersecurity skills.
OSINT
Comprehensive OSINT techniques covering tools like Maltego, KISMET, and Tor for information gathering, network analysis, and maintaining anonymity in digital investigations.
Deep Learning
Explore advanced image analysis techniques using ArcGIS Pro and arcgis.learn, including feature classification, object extraction, and point cloud processing for geospatial applications.
Machine Learning & Deep Learning Projects
Hands-on projects in machine learning and deep learning, covering chatbots, sentiment analysis, image captioning, speech recognition, customer segmentation, and facial expression detection.
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.
Practical Augmented Reality Course
Learn to build 6 AR apps using ARCore and Unity, covering motion tracking, light estimation, hit testing, and advanced features like portals and multiplayer.
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.
Mask R-CNN - Practical Deep Learning Instance Segmentation Tutorials
Learn to implement and train Mask R-CNN for instance segmentation using OpenCV and Python, covering installation, real-time applications, and custom object detection like potholes.
Pose Estimation - Deep Learning Using OpenPose Tutorials
Learn to implement pose estimation using OpenPose, covering installation, people counting, fall detection, yoga pose recognition, and more. Gain practical skills in computer vision and deep learning applications.
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.
Artificial Intelligence Projects
Explore AI projects using neural networks for bank default prediction, stock forecasting, and image processing. Learn CNN, RNN, and time series analysis techniques.
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.