Use any open source computer vision libraries like OpenCV, Yolo etc to write an algorithm that takes in two images as input. One of the image would be a website screenshot. The other image would be a logo. The goal is to find the probability/chances that the logo is present in the screenshot image.
Algorithms like SIFT (Scale invariant Feature transform) have helped in the past with this but they're now patented and not available open source. But that might be a good point to start with.
Attached image shows Vanguard logo being detected through feature matching lines in a website screenshot image. No visualizations are required, just a score/number as output.
29 freelance font une offre moyenne de $152 pour ce travail
Hi there. I'm a machine learning expert with over 6 years experience with machine vision and python. I think I can implement a template matching algorithm to achieve the above objective
Hi. We can make use of other feature selection algorithms that are robust than SIFT. Let's discuss this over chat. Thank you
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Hello, I can develop a new template matching algorithm for you. If my offer is suitable for you, please return.
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