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[D]Task at hand. Any suggestions for how to approach this? (alien.top)

submitted 11 months ago by ninja_killed_baba@alien.top to c/machinelearning@academy.garden

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Utilize frameworks and databases such as Ageitgey's, IMDB-WIKI, or Adience for detecting gender, or choose an alternative that fits the objectives of your project. Your task is to expand its capabilities and include feature enhancement through the use of computer vision.

Detailed Feature Identification: Create a script to evaluate additional characteristics of the image's subject, which are crucial for the project's scope. Achieve at least a 50% success rate in this phase. The accuracy will be confirmed using our selected image dataset.

Detection Elements: Conduct analysis of ethnicity, recognize body features (like Rack), and other specific attributes that will be revealed at this stage.

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[–] PM_ME_YOUR_BAYES@alien.top 1 points 11 months ago

r/learnmachinelearning

[–] vatsadev@alien.top 1 points 11 months ago

Detecting gender - So this is Mnist but for Gender. you could try going from mnist, if you're data is all of the same size, scale up the model, and train, you can experiment quickly and get 50% acc.

Detection Elements - slightly more complicated, for recognizing body features, you would need a segmentation model, I would look into that.