The course is for anyone; passionate about computer vision and its applications. It aims to equip learners with the Object Detection Methods and technologies with hands-on experience of a Real World application.

Objective

The objective is to teach computer vision skillset at expert level so that learners can apply the knowledge to address problems around them.

• Getting familiar with Convolutional Neural Network and diving deeper.
• Hands-on experience with Image classification, Object detection.
• Real time Object Detection, Object Tracking and Text Extraction.
• Guidelines to Make Impact with Object Detection.
• End to end solution with real world application

• Technical skills that are required to become a computer vision engineer.
• Current and future global challenges in the sector.
• Making Impact with Object Detection immediately after finishing this course.
• Instructor-led online course.
• Real-world, practical assignment(s) leading to projects.
• Discussion in discord to get solutions in assignments.
• End to end solution with real world application
• Talks with industry experts about their applications with computer vision.

• Python, OOP, Basic Mathematics, Numpy Arrays, Machine Learning, Deep Learning Fundamentals, Pytorch/Keras Fundamentals.

Part 1: Essentials for Object Detection (3 hours):

• Introduction to Object Detection.
• Creating a bounding box ground truth for training.
• Understanding Regional Proposals, IoU, non-max suppression, and mean average precision.
• Understanding Anchor Boxes, Regional Proposal Network.

Part 2: Real Time Object Detection (7 hours):

• Working Details of YOLO and Building Custom Object Detectors.
• Working Details of SSD and Building Custom Object Detectors.
• Case study of the models that already made an impact.
• Quantization of the models.

Part 3: Real Time OCR and Object-Tracking (5 hours):

• Getting familiar with Keras-OCR.
• Real Time OCR with OpenCV-Tesseract.
• Real Time Object Tracking with OpenCV.
• Real Time Object Tracking with Deep Sort.

Part 4: Case Study and Guidance to Make a Positive Impact (6 hours):

• Exploring challenges, obstacles, success stories.
• Connecting through active loop and cloud.
• Creating an android app out of the models.
• Dockerizing the models.
• Guidelines for Creating pipelines.