Video Segmentation with Python using Deep Learning Real-Time

Video, Image Instance Segmentation for Computer Vision with Python. Train, Deploy Deep Learning Models YOLOv8, Mask RCNN

Created by: Dr. Mazhar Hussain
Deep Learning, Computer Vision, AI & Python | CS Lecturer

Created by: AI & Computer Science School
Learn AI, Deep Learning, & Computer Vision with Python

What Will I Learn?

• Real-Time Video Instance Segmentation with Python and Pytorch using Deep Learning
• Build, Train, & Test Deep Learning Models on Custom Data & Deploy to Your Own Projects
• Introduction to YOLOv8 and its Deep Learning Architecture
• Video Instance Segmentation using YOLOv8 with Python
• Introduction to Mask RCNN and its Deep Learning Architecture
• Instance Segmentation using Mask RCNN with Python
• Configuration of Custom Vehicles Dataset with Annotations for Instance Segmentation
• HyperParameters Settings for Training Instance Segmentation Models
• Training Instance Segmentation YOLOv8 and Mask RCNN Models on Custom Datasets
• Testing Instance Segmentation Trained Models on Videos and Images
• Perform Car, Motorbike, and Truck Instance Segmentation
• Deploy Trained Instance Segmentation Models

Requirements

• A Google Gmail account is required to get started with Google Colab to write Python Code
• Python Programming experience is an advantage but not required

Target audience

• This course is tailored for aspiring Computer Vision and Deep Learning enthusiasts, students, and researchers eager to delve into the world of Video Instance Segmentation with Python.
• Whether you're a beginner looking to unlock the mysteries of pixels in motion or a seasoned professional aiming to expand your skill set, this course offers a dynamic learning experience. If you're passionate about mastering deep learning techniques for video analysis and Instance Segmentation, this course is designed just for you.