Machine Learning for Image Processing Workshop by VIT
Vellore Institute of Technology, VIT Vellore
📌About the Event
Machine Learning for Image Processing Workshop by VIT is a one-day national hands-on workshop titled “Machine Learning for Image Processing: Fundamentals, Recent Advances, and Real-World Applications.” It is organized by the Department of Embedded Technology & Communication Engineering, School of Electronics Engineering, VIT Vellore. The workshop is designed to help students, researchers, and faculty understand digital image processing, machine learning for image analysis, deep learning for computer vision, and real-world AI-based image processing applications.
ℹ️ Event Details
- Organizer: Department of Embedded Technology & Communication Engineering, School of Electronics Engineering, VIT Vellore
- Mode of Conduct: Online
- Date: 13 June 2026
- Time: 10:00 AM to 5:00 PM
- Event Type: Hands-on technical workshop
- Main Topics Covered: Digital Image Processing, Machine Learning for Image Analysis, Deep Learning for Computer Vision, AI-Based Image Processing, and Hands-on Real-World Implementation
📅 Important Dates
- Workshop Date: 13 June 2026
- Workshop Time: 10:00 AM to 5:00 PM
- Registration Status: Registration is available through the VIT Events portal
🎯 Eligibility & Rules
- Eligibility / Target Audience: UG students, PG students, research scholars, and faculty members can register, as these are the participant categories mentioned in the official brochure.
- Registration Rule: Participants need to register through the VIT Events portal.
- Account Requirement: New users must provide a valid email address, activate their account, and complete the registration details.
- Payment Rule: Registration is accepted only after payment is completed.
- Workshop Format: Hands-on learning session focused on technical concepts and implemention.
🏆 Prize Details and Value
- Certificate: All registered participants will receive a certificate.
- Skill Benefit: Participants can learn machine learning techniques for image analysis and deep learning for computer vision.
- Hands-on Exposure: The workshop includes real-world applications and hands-on implementation.
- Portfolio Value: Useful for students interested in AI, computer vision, image processing, machine learning, electronics, and research projects.