some questions about facelib HOT 6 CLOSED

Hi thank you, sorry I'm late.
Answer to your first question: The original WILD
Second one: At that time I didn't know MoibleNet is a better architecture, but
If I wanted to train the model again I would use Efficientnet-b0

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thanks.
TBD: Do you think it's more reasonable to use cropped dataset to train the model so it'll gain higher accuracy?

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Ye I think that's a reasonable thought 🤔

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sorry I'm a bit later.
Yes I just wonder what the landmarks are if an image is not a face when labels the training set? for instance, image1 is a cat, so it's class 0 ( class 1 belongs to face), and its landmarks should be all 0 ,-1 or others? what differences b/w these as to performance?
thanks a lot!

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Great question, but I never thought about or tested this one. I don't know what will happen.
have a try at it
p.s. give a star if the project was helpful

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You mean your training set are all about facial scenarios but no negative examples( eg. only a car on a road, flowers in the bottle etc) ? it seems weird since the model will still predict a face w/ landmarks even if it predicts on images without faces

This problem will not raise if splits one model to two: one for classifier , another is for regression on the positive result of former.
(ps : starred it)

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