Augmented Startups Courses

OpenCV AI Kit Raspberry Pi Smart Camera - OpenCV Python - Computer Vision - 2021

Build a real-time AI surveillance camera using Raspberry Pi and OpenCV AI Kit. Detect objects, people, and packages with MobileNet SSD at 30 FPS. Includes hardware setup, coding, and Roboflow integration for custom object detection.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

The Fun and Easy Guide to Machine Learning - Tutorials

Comprehensive introduction to machine learning algorithms, from regression to neural networks, with practical Python implementations and engaging whiteboard explanations for beginners and enthusiasts.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Augmented Reality with Hand Gestures Technology Tutorials

Learn to create interactive AR experiences using hand gestures. Build apps that respond to hand movements, from rotating 3D objects to shooting virtual blasts and smashing skulls in Unity.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Detectron2 Tutorials

Learn object detection and segmentation using Detectron2, covering installation, data preparation, and implementation with OpenCV and Python for computer vision applications.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Machine Learning Fun and Easy

Explore popular machine learning concepts through engaging lectures covering regression, clustering, neural networks, and more. Gain fundamental knowledge in an accessible, enjoyable format.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Fine-Tuning ChatGPT for Smarter Fish Farm Management

Master the integration of ChatGPT with fish farming operations, from fine-tuning AI models to building interactive Streamlit chatbots for real-time monitoring and management of aquaculture systems.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Weather Dashboard - Building a Frontend with React and Google Maps API

Master building a weather dashboard by integrating React with Google Maps API, implementing interactive markers, real-time weather updates, and Material-UI components for a polished user interface.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Building a Rice Crop Deficiency Detection Backend with YOLOv8, LangChain, and Flask - Part 2.3

Master backend development for an AI-powered rice crop analysis system using YOLOv8, LangChain, and Flask to detect nutrient deficiencies and provide chatbot-based explanations.

• YouTube
• 15 minutes
• Self-Paced
• Free Video