Computer Vision - Object Detection on Videos - Deep Learning

About this course

Master Real-Time Object Detection with Deep Learning

Dive into the world of computer vision and learn to build intelligent video analytics systems. This comprehensive course covers everything from foundational concepts to advanced techniques, including:

• Video Analytics Basics: Understand the 3-step process of capturing, processing, and saving video data.

Object Detection Powerhouse: Explore state-of-the-art object detection models like Haar Cascade, HOG, Faster RCNN, R-FCN, SSD, and YOLO.Real-World Applications: Implement practical projects like people footfall tracking, automatic parking management, and real-time license plate recognition.

Deep Learning Mastery: Learn to train and deploy deep learning models for image classification and object detection using frameworks like TensorFlow and Keras.

Hands-On Experience: Benefit from line-by-line code walkthroughs and dedicated support to ensure a smooth learning journey.

Exciting News!

We've just added two new, hands-on projects to help you master real-world computer vision applications:

• Real-Time License Plate Recognition System Using YOLOv3: Dive deep into real-time object detection and recognition.

Training a YOLOv3 Model for Real-Time License Plate Recognition: Learn to customize and train your own YOLOv3 model. Don't miss this opportunity to level up your skills!

Why Enroll?

Industry-Relevant Skills: Gain in-demand skills to advance your career in AI and machine learning.

Practical Projects: Build a strong portfolio with real-world applications.

Expert Guidance: Learn from experienced instructors and get personalized support.

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