Tech Vidyalaya

Computer Vision Corporate Trainings

Computer Vision is the art of distilling actionable information from images. In this hands-on course, we’ll learn about Image Analysis techniques using OpenCV and the Microsoft Cognitive Toolkit to segment images into meaningful parts. We’ll explore the evolution of Image Analysis, from classical to Deep-Learning techniques.

Corporate Training
✓ 180 days of access to high-quality, self-paced learning content designed by industry experts ✓ Flexible pricing options ✓ Enterprise grade Learning Management System (LMS) ✓ Enterprise dashboards for individuals and teams	✓ Pricing for - Course, Category, and all-course-access ✓ Enterprise-class learning management system (LMS) ✓ Enhanced reporting for individuals and teams ✓ 24x7 teaching assistance and support

Corporate Training

✓ 180 days of access to high-quality, self-paced learning content designed by industry experts

✓ Flexible pricing options

✓ Enterprise grade Learning Management System (LMS)

✓ Enterprise dashboards for individuals and teams

✓ Pricing for - Course, Category, and all-course-access

✓ Enterprise-class learning management system (LMS)

✓ Enhanced reporting for individuals and teams

✓ 24x7 teaching assistance and support

Contact to our training advisor

Blockchain Training Course Curriculum

Module 1 Introduction to image processing and computer
✅ Short introduction to computer vision ✅ Digital images ✅ Structure of human eye and vision ✅ Color models15m ✅ Image processing goals and tasks ✅ Contrast and brightness correction ✅ Image convolution ✅ Edge detection

Module 1

Introduction to image processing and computer

✅ Short introduction to computer vision

✅ Digital images

✅ Structure of human eye and vision

✅ Color models15m

✅ Image processing goals and tasks

✅ Contrast and brightness correction

✅ Image convolution

✅ Edge detection

Module 2 Introduction, Installation and Configuration
✅ Describe Apache Cassandra ✅ Common use cases - large deployments ✅ Cassandra architecture ✅ Select and install a Cassandra version ✅ Configure for a single node, multinode ✅ Start and stop a Cassandra instance ✅ Installing on Windows, Mac, Ubuntu ✅ Basic CLI Commands

Module 2

Introduction, Installation and Configuration

✅ Describe Apache Cassandra

✅ Common use cases - large deployments

✅ Cassandra architecture

✅ Select and install a Cassandra version

✅ Configure for a single node, multinode

✅ Start and stop a Cassandra instance

✅ Installing on Windows, Mac, Ubuntu

✅ Basic CLI Commands

Module 3 Convolutional features for visual recognition
✅ Recap: Image classification ✅ AlexNet, VGG and Inception architectures ✅ ResNet and beyond1 ✅ Fine-grained image recognition ✅ Detection and classification of facial attributes ✅ Content-based image retrieva ✅ Computing semantic image embeddings using convolutional neural networks ✅ Employing indexing structures for efficient retrieval of semantic neighbors ✅ Face verification ✅ The re-identification problem in computer vision ✅ Facial keypoints regression ✅ CNN for keypoints regression

Module 3

Convolutional features for visual recognition

✅ Recap: Image classification

✅ AlexNet, VGG and Inception architectures

✅ ResNet and beyond1

✅ Fine-grained image recognition

✅ Detection and classification of facial attributes

✅ Content-based image retrieva

✅ Computing semantic image embeddings using convolutional neural networks

✅ Employing indexing structures for efficient retrieval of semantic neighbors

✅ Face verification

✅ The re-identification problem in computer vision

✅ Facial keypoints regression

✅ CNN for keypoints regression

Module 4 Object Detection
✅ Object detection problem ✅ Sliding windows ✅ HOG-based detector ✅ Detector training ✅ Viola-Jones face detector ✅ Attentional cascades and neural networks ✅ Region-based convolutional neural network ✅ From R-CNN to Fast R-CNN ✅ Faster R-CNN ✅ Region-based fully-convolutional network ✅ Single shot detectors ✅ Speed vs. accuracy tradeoff ✅ Fun with pedestrian detectors

Module 4

Object Detection

✅ Object detection problem

✅ Sliding windows

✅ HOG-based detector

✅ Detector training

✅ Viola-Jones face detector

✅ Attentional cascades and neural networks

✅ Region-based convolutional neural network

✅ From R-CNN to Fast R-CNN

✅ Faster R-CNN

✅ Region-based fully-convolutional network

✅ Single shot detectors

✅ Speed vs. accuracy tradeoff

✅ Fun with pedestrian detectors

Module 5 Object tracking and action recognition
✅ Object tracking and action recognition ✅ Introduction to video analysis ✅ Optical flow ✅ Deep learning in optical flow estimation ✅ Visual object tracking ✅ Examples of visual object tracking methods1 ✅ Multiple object tracking ✅ Examples of multiple object tracking methods ✅ Introduction to action recognition ✅ Action classification ✅ Action classification with convolutional neural networks ✅Action localization

Module 5

Object tracking and action recognition

✅ Object tracking and action recognition

✅ Introduction to video analysis

✅ Optical flow

✅ Deep learning in optical flow estimation

✅ Visual object tracking

✅ Examples of visual object tracking methods1

✅ Multiple object tracking

✅ Examples of multiple object tracking methods

✅ Introduction to action recognition

✅ Action classification

✅ Action classification with convolutional neural networks

✅Action localization

Module 6 Image segmentation and synthesis
✅ Image segmentation3m ✅ Oversegmentation4m ✅ Deep learning models for image segmentation ✅ Human pose estimation as image segmentation ✅ Style transfer5m ✅ Generative adversarial networks7m ✅ Image transformation with neural networks

Module 6

Image segmentation and synthesis

✅ Image segmentation3m

✅ Oversegmentation4m

✅ Deep learning models for image segmentation

✅ Human pose estimation as image segmentation

✅ Style transfer5m

✅ Generative adversarial networks7m

✅ Image transformation with neural networks

Computer Vision Corporate Trainings

Register for Corporate Training

Computer Vision Corporate Trainings

Corporate Training

Contact to our training advisor

Blockchain Training Course Curriculum

Module 1

Introduction to image processing and computer

Module 2

Introduction, Installation and Configuration

Module 3

Convolutional features for visual recognition

Module 4

Object Detection

Module 5

Object tracking and action recognition

Module 6

Image segmentation and synthesis

Computer Vision FAQs