
Explore Facebook's innovative platforms for content understanding, enhancing experiences for billions through media and video analysis, model efficiency, and advanced technologies.

Explore PyTorch 1.0, a powerful deep learning framework that bridges research and production, accelerating AI development with innovative features and tools.

Learn to recreate 10 epic visual effects from Eminem's Godzilla music video using After Effects, including big eyes, blood splatter, face replacement, and more. Perfect for enhancing vlogs and music videos.

Learn to create an animated face using Adobe Character Animator. This beginner-friendly tutorial covers basic tools and techniques, guiding you through the process of building a functional puppet for your animations.

Learn to build a functional Messenger bot for an eCommerce business, from page creation to deployment, enhancing sales and customer support.

Learn to control real-world objects using gesture recognition with Mediapipe and Arduino. Develop a Python program to recognize hand gestures and control LEDs on an Arduino breadboard.

Learn accurate hand gesture recognition using Python and MediaPipe. Develop algorithms to detect and train on hand landmarks, enabling precise gesture identification in real-time applications.

Learn to detect faces in real-time video using Mediapipe, OpenCV, and Python. Explore data parsing and visualization techniques for efficient face recognition.

Learn to parse pose and hand landmark data in Mediapipe using Python and OpenCV. Develop full-body pose estimation for live video analysis, with practical demonstrations and troubleshooting tips.

Learn real-time pose estimation using Mediapipe and Python. Discover how to analyze body landmarks, process webcam video, and visualize results with OpenCV in this hands-on tutorial.

Learn to track objects by color using OpenCV with step-by-step instructions. Create masks, use trackbars for model training, and apply techniques for effective color-based object detection.

Explore the HSV color space for effective object tracking in OpenCV. Learn about hue, saturation, and value components to enhance your computer vision projects.

Learn to create and use trackbars in OpenCV for dynamic parameter control in real-time video processing, with step-by-step guidance suitable for beginners.

Discover 8 essential image processing algorithms applicable beyond images. Learn thresholding, motion detection, filtering, convolution, edge detection, and morphological operations.

Implement perspective-correct texture sampling, scan-line triangle rasterizing, and depth buffers in a command prompt 3D engine. Enhance graphics with advanced techniques.

Learn to create, manipulate, and animate Regions of Interest (ROI) in OpenCV, optimizing AI computations and enhancing image processing efficiency.

Learn to create a checkerboard pattern using OpenCV and Python, mastering numpy slice functions and array manipulation for visual programming projects.

Beginner-friendly introduction to AI concepts, Python, and OpenCV, covering face, hand, and body detection techniques for absolute beginners.

Learn to measure obstacle distance using HC-SR04 ultrasonic sensor for robotics projects. Practical coding and hardware setup included for implementing distance measurement in robotic applications.

Explore the development of a self-driving car in TrackMania using reinforcement learning. Learn about the AI pipeline, from feature selection to model training, and witness the impressive results in action.

Explore hybrid quantum-classical machine learning with Qiskit for text classification and sentiment analysis, combining quantum circuits and classical models.