This is a very interesting project and worth mentioning in a wider community.
My personal opinion regarding ethnicity classification is that it is nearly impossible to execute as many races have similar visual criteria but different origins and characteristics.
For example, Yemen people are confused by machine learning with Africans/African Americans etc.
Consider also the fact that within 2 or 3 decades most people in western economic countries will be a mix of races and looka cannot point to correct ethnicity classifications.
Gender is not yet an issue but this is also a changing subject.
I would extract ethnicity classification as this is impossible to predict.
Hey thank you for a kind word! I don't know how to mention it in a wider community but I will try to 👌
This is very interesting point of view, I always assumed that ethnicity is as simple as gender but probably as you wrote it's much harder to distinguish that with good confidence.
On the other hand maybe machine learning will be growing with us and more mix of races will be also visible in outputs of ML models - for example model has 60% certainty that someone is white and 40% that someone is asian because this person is a mix of races. As I wrote it's very interesting observation and may be no point in trying to create perfect model.
Thanks! :)
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This is a very interesting project and worth mentioning in a wider community.
My personal opinion regarding ethnicity classification is that it is nearly impossible to execute as many races have similar visual criteria but different origins and characteristics.
For example, Yemen people are confused by machine learning with Africans/African Americans etc.
Consider also the fact that within 2 or 3 decades most people in western economic countries will be a mix of races and looka cannot point to correct ethnicity classifications.
Gender is not yet an issue but this is also a changing subject.
I would extract ethnicity classification as this is impossible to predict.
Hey thank you for a kind word! I don't know how to mention it in a wider community but I will try to 👌
This is very interesting point of view, I always assumed that ethnicity is as simple as gender but probably as you wrote it's much harder to distinguish that with good confidence.
On the other hand maybe machine learning will be growing with us and more mix of races will be also visible in outputs of ML models - for example model has 60% certainty that someone is white and 40% that someone is asian because this person is a mix of races. As I wrote it's very interesting observation and may be no point in trying to create perfect model.
Thanks! :)