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Project title: Analysis of facial imagery
Type of cooperation: One-time project
Section: Software development
Prepayment: without prepayment
Payment methods: Bank transfer
Acceptance of requests: from 2022-08-14 until 2022-08-19
Type of cooperation: One-time project
Section: Software development
Prepayment: without prepayment
Payment methods: Bank transfer
Acceptance of requests: from 2022-08-14 until 2022-08-19
Project description:
Programmer services are required. We need to analyze facial images. Two groups of images of men and women are provided - a test group and a control group.
The images in the test group are divided into pairs - a male woman (married). The images in the control group are random images of men and women.
We are going to use several different comparison algorithms – the standard one used to identify photos of the same person (confidence level and will be the similarity level), as well as our own algorithm. The relevant instruction will be provided.
The result of the work should be:
Two databases (two groups) of “recognized” faces – that is, the coordinates of all recognizable points of the face.
List of all married couples and measure of the “similarity” of spouses according to the classical algorithm of comparison.
Average “similarity” among couples and average “similarity” among the control sample.
Software code for continuing research.
Before the recognition begins, “bad”, blurred, faceless photos, etc. Must be removed.
Programmer services are required. We need to analyze facial images. Two groups of images of men and women are provided - a test group and a control group.
The images in the test group are divided into pairs - a male woman (married). The images in the control group are random images of men and women.
We are going to use several different comparison algorithms – the standard one used to identify photos of the same person (confidence level and will be the similarity level), as well as our own algorithm. The relevant instruction will be provided.
The result of the work should be:
Two databases (two groups) of “recognized” faces – that is, the coordinates of all recognizable points of the face.
List of all married couples and measure of the “similarity” of spouses according to the classical algorithm of comparison.
Average “similarity” among couples and average “similarity” among the control sample.
Software code for continuing research.
Before the recognition begins, “bad”, blurred, faceless photos, etc. Must be removed.
