Computer Vision - Object Detection on Videos - Deep Learning

🎓 Course Title: Computer Vision - Object Detection on Videos - Deep Learning

Headline: Quick Starter on Object Detection and Image Classification on Videos using Deep Learning, OpenCV, YOLO and CNN Model

🎉 Course Description:

Embark on a comprehensive journey into the realm of Computer Vision with our "Object Detection on Videos - Deep Learning" course. This hands-on tutorial is designed to provide you with an in-depth understanding of Video analytics, Object Detection, and Image Classification. You'll learn the intricacies of capturing, processing, and saving video data, and how to apply these skills to real-world scenarios such as Social Distancing enforcement.

What You'll Learn:

• 📹 Video Analytics Architecture: Understand the fundamentals of video analytics and its application in various industries.
• 🧮 Euclidean Distance: Explore the mathematical foundations that underpin object recognition and classification techniques.
• Object Detection Models: Get familiar with a variety of models, including Haar Cascade, HOG (Histogram of Oriented Gradients), Faster RCNN, R-FCN, SSD (Single Shot MultiBox Detector), and YOLO (You Only Look Once).
• 🛠️ Implementation on Videos: Master the practical application of object detection models like Haar Cascade, HOG, and YOLO directly on video streams.
• 🎨 Image Classification: Learn to train an Image Classification model using a powerful CNN (Convolutional Neural Network) model like InceptionV3.
• 📊 Training Model on Videos: Implement image classification on videos with your trained InceptionV3 model.
• 🏃‍♂️ Object Tracking: Discover the SORT (Simple Online and Real-Time) framework for object tracking in video sequences.
• 🚶‍♀️ People Footfall Tracking Solution: Build a solution that tracks people footfall using computer vision techniques.
• 🅿️ Automatic Parking Management Solution: Develop an application to manage parking spaces through computer vision and deep learning.

Why This Course?

👍 In-Course Support: Enjoy dedicated in-course support within 24 hours for any queries or issues you face during your learning journey.

🖥️ Code Walkthrough: Get a line-by-line breakdown of the code for object detection on videos and training a model for image classification.

📚 Comprehensive Coverage: Gain a thorough understanding of various object detection and image classification models with comprehensive coverage.

✅ Working Source Code: Benefit from working source code for projects like People Footfall Tracking and Automatic Parking Management.

Key Topics & Projects:

• Video Analytics Architecture
• Euclidean Distance
• Object Detection Models (Haar Cascade, HOG, Faster RCNN, R-FCN, SSD, YOLO)
• Implementing Object Detection on Videos with Haar Cascade, HOG, and YOLO
• Image Classification
• Training an Image Classification Model on Google Colab (using InceptionV3)
• Image Classification Implementation on Videos
• Object Tracking with SORT Framework
• People Footfall Tracking Solution
• Automatic Parking Management Solution

By the end of this course, you'll be equipped with the knowledge and skills to leverage computer vision for a wide array of applications. Join us now and transform your understanding of video analytics with deep learning! 🚀

Enroll today and take the first step towards mastering Object Detection and Image Classification on videos using Deep Learning, OpenCV, YOLO, and CNN Models! Let's embark on this exciting journey together. 🤓➡️🎬➡️🚀