YOLOv7 YOLOv8 YOLO-NAS: Object Detection, Tracking & WebApp

🎉 YOLOv7   YOLOv8   YOLO-NAS: Object Detection, Tracking & WebApp 🚀

Unlock the Power of Computer Vision! 🤯

Dive into the world of computer vision with our comprehensive YOLOv7   YOLOv8   YOLO-NAS Crash Course - a one-stop destination for mastering object detection, segmentation, tracking, pose estimation, and web app development using real-world projects. 🌍

What's Covered in the Crash Course? 📚

• Foundational Knowledge: Get introduced to the world of Object Detection with an overview of CNN, RCNN, Fast RCNN, Faster RCNN, and Mask R-CNN.

• YOLO Algorithm Mastery: Deep dive into the YOLO algorithm, including a thorough review of the YOLOv7 paper, measuring accuracy in computer vision, understanding Intersection Over Union (IOU), and mastering Non-Max Suppression (NMS).

• Hands-On Practice: Bring your learning to life by running YOLOv7 on images and video in Google Colab, and explore the potential of YOLO-NAS with a single click! 🖥️

• Real-Time Object Detection: Detect objects in real-time using YOLO-NAS with your webcam. Learn how to train YOLO-NAS with custom datasets for tailored solutions.

• YOLOv8 Exploration: Be among the first to learn about and run YOLOv8 on Windows and Google Colab, and train custom models for specific tasks like face mask detection, personal protective equipment detection, and more. 🎭

• Multi-Object Tracking: Implement YOLOv7 alongside the DeepSORT algorithm for accurate multi-object tracking, and explore traffic counting and car velocity calculations.

• Segmentation with Tracking: Master segmentation techniques and combine them with tracking for applications like potholes detection, vehicles intensity heatmaps, and privacy blurring. 🚗🔥

• Advanced Applications: From fire detection systems to plastic bottle counting on manufacturing lines, waste detection and segmentation, license plate detection and recognition, and more - apply your skills to solve real-world problems. 🏭📦

• Pose Estimation: Detect and track basketball players, count crunches or push-ups, identify tennis shots, and even detect badminton shots using YOLOv7 Pose Estimation models. 🎾🤸‍♂️

• Web Development: Learn how to integrate YOLOv7 with Flask for web app development, and build applications like privacy blurring, vehicles counting entering and leaving, and real-time sign language alphabet detection using YOLO-NAS. 🌍👩‍💻

Why Take This Course? 🎓

• Over 22 Exciting Projects: Each project is designed to reinforce your understanding and provide you with a portfolio of real-world applications.

• Learn from Industry Experts: Gain insights from professionals who are actively working on cutting-edge computer vision projects.

• Flexible Learning: Access the course material at your own pace, anytime, anywhere - perfect for busy schedules or different learning styles.

• Community Support: Join a community of learners and share ideas, ask questions, and collaborate on projects. 🤝

Enroll now to embark on an exciting journey into the realm of object detection, segmentation, tracking, pose estimation, and web app development! 🚀💻

Don't Miss Out! 🎬

• Start Date: [Insert Start Date]
• Duration: [Insert Duration]
• Format: Online with interactive assignments and community support
• Level: Intermediate to Advanced (some prior knowledge in computer vision or programming is recommended)

Sign Up Today and Transform Your Career! 🌟✨