Data science techniques help facilitate and translate results into business solutions and communicate their findings in a way that has a positive affect on a business decision.

Training Methodology Steps

  • Modes

    Defined in two modes
    -Online
    -Classroom

  • Experiment Learning

    Comprehensive hands on program giving you the utmost confidence you need to be better competent.

  • Reinforcement

    Periodic evaluation and assessment will help you stay aligned and forward.

  • Technology Compliant

    Our Learning Management System will help you access resources you need in pursuit of your learnings.

Course Curriculum

Day 1 - 8hrs

- Python.
- What is an Image.
- Intro to Images and OpenCV Basics.
- Opening Image files.
- Drawing on Images.

Day 2 - 8hrs

- Color Mapping.
- Blending and Pasting Images.
- Image Thresholding.
- Blurring and Smoorthing.
- Morphological Operations.
- Gradients.
- Histograms.
- Connecting to Camera.
- Using Video files.
- Drawing on Live camera.

Day 3 - 8hrs

- Corner Detection.
- Edge Detection.
- Grid Detection.
- Contour Detection.
- Template Matching.
- Feature Matching.
- Watershed Algorithm.

Day 4 - 8hrs

- Intro to Face Detection, face features.
- Face Detection with Opencv.
- ML Basics.
- Classification Metrics.
- Neuron.
- Neural Network.
- Cost Functions.
- Gradient descent and Backpropogation.
- Keras Basics.

Day 5 - 8hrs

- CNN Overview.
- Keras CNN with MNIST.
- Keras CNN with CIFAR-10.
- Deeplearning on Custom Images.
- YOLO.
- YOLO with Python.

Technologies Used

Our Approach

Practical Coverage

Focus on foundation and fundamentals.

Work toward specific or predefined business problems.

Create data stories to conduct meaningful analysis.

Total hands-on for a better exposure and experience.

Delivery Methods

Online

Learn the technology backed with comprehensive Learning Management System.

Classroom

Access to more interactive sessions.

Want to Know More About Our Computer Vision with OpenCV and Deep learning Program

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