Build job-ready skills with our Classroom and Online Computer Vision with OpenCV Training at WebAsha Technologies. The training is practical and built around getting you hired.
Training overview:
This 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. It prepares you for computer vision engineer and AI roles.
Intended audience:
This course suits 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.
Prerequisites:
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 skills are in demand. In India, computer vision engineers typically earn ₹6 LPA to ₹40+ LPA.