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image-processing-and-computer-vision's Introduction

Image-Processing-and-Computer-Vision

Objective

• Built a ML model for image enhancing, processing and segmentation to solve real world problems.

Approach

• Explored techniques such as sampling, quantization, image enhancement, edge detection, and image segmentation.Utilized these techniques to manipulate, analyze, and extract meaningful information from images.

• Devloped ML model that could classify and segment images based on their respective categories using image segmentation. Outcome

Outcome

• Built a ML model for image segmentation achieving optimum accuracy on a large dataset containing images of different categories. Attained accurate results in image enhancement, edge detection, and segmentation.

image-processing-and-computer-vision's People

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