• What you'll learn
    • Fundamentals of computer vision.
    • CNN architectures, classification, object detection & segmentation
    • Image formation, motion estimation, tracking & other fundamentals with computer vision.
    • Various architecture usages with Computer vision for advanced-level Works.
  • Requirements
    • Prior understanding of Python Language
    • A system with stable Internet Connection
    • Your Dedication
  • Course Curriculum
    • Introduction to Course
    • CNN Foundations
    • CNN Architectures
    • Image Classification Hyper Parameter Tuning
    • Data Augmentation
    • Object Detection Basics
    • Object Detection Architectures
    • Practicals Object Detection using Tensorflow 1.x
    • Practicals Training a Custom Cards Detector using Tensorflow1.x
    • Practicals Creating an Cards Detector Web App with TFOD1
    • Practicals Object Detection using Tensorflow 2.x
    • Practicals Object Detection using Detectron2
    • Practicals Training a Custom Detector using Detectron2
    • Practicals Creating an Custom Detector Web App with Detectron2
    • Practicals Object Detection using YoloV5
    • Practicals Training a Custom Warehouse Apparel Detector using YoloV5
    • Practicals Creating an Warehouse Apparel Detector Web App with YOLOV5
    • Image Segmentation
    • MASK RCNN Practical with TFOD
    • MASKRCNN practical with Detectron2
    • Face Recognition Project
    • Object Tracking Project
    • GANS
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