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Computer Vision for Visual Discernment

Very simple task. Create a simple dashboard program where individual photos would be uploaded. The photos are of the same thing (a marking) but it is to train machine learning to determine if the sample is of the "A" category or "B" category or "C" category (see photo attached). Each element is on the white paper background and the same target area (fill in the shape). Thus, it is computer vision and combo machine learning. The first step is looking at thousands of photo samples (we will do this) in the dashboard and then when that is ready it will be part of an overall image detection module as part of a great image recognition program. This is the initial element. We take the photos from a scanned image. The image is then zoomed up in the dashboard (automatic when loading) and then an "operator" then visually inspects the images and puts them into the A, B, or C category, where they are stored. We want to fill in a file naming and then each image is stored with that same file naming structure but it adds an additional single alpha or numeric identifier to the file name. Thus this is a two-part- dash board and then a simple module to work as part of a computer vision (image detection program) and eventually allow machine learning to take over and make the decisions based on the original dashboard inputs. Deliver simple dash board first

Kemahiran: Pengaturcaraan C++, Python, Matlab and Mathematica, Computer Vision, Machine Learning (ML)

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Tentang Majikan:
( 0 ulasan ) Austin, United States

ID Projek: #29770198