Build job-ready skills with our Classroom and Online Computer Vision with OpenCV Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on computer vision using OpenCV and deep learning. It covers image fundamentals, image processing and transformations, feature detection, object detection and tracking, face detection and recognition, deep-learning-based vision (CNNs, YOLO), OCR, video analysis, and building real computer vision applications - preparing you for computer vision engineer and AI roles.
Intended Audience:
This course is ideal for developers, data scientists and AI aspirants who want to build computer vision applications with OpenCV and deep learning.
Topics Covered:
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Image Fundamentals: Pixels and colour.
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Image Processing: Filtering and transforms.
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Feature Detection: Edges and features.
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Object Detection: Finding objects.
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Face Recognition: Detection and ID.
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Deep Learning Vision: CNNs and YOLO.
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OCR: Reading text in images.
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Video Analysis: Real-time vision.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python knowledge is recommended, and some machine-learning familiarity helps for the deep-learning sections. Our Python Programming course is a good starting point.
Career Benefits:
Computer vision is high-impact. In India, computer vision engineers typically earn ₹6 LPA to ₹40+ LPA.