Trained a Mask Coverage Detection model that can detect improper wear #8
Replies: 3 comments
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hi bro, |
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Dear @haifa33, Each image of the MaskedFace-Net dataset has its corresponding file naming in the FFHQ dataset. Hence, the metadata file “ffhq-dataset-v2.json” (see the FFHQ webpage) can be exploited for your processing of MaskedFace-Net. Regards, |
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Thanks a million for this wonderful team.
Regards the metadata file, should i change the image labels? In order to match (mask & no mask) classes?
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From: cabani ***@***.***>
Sent: Sunday, November 7, 2021 11:24:31 PM
To: cabani/MaskedFace-Net ***@***.***>
Cc: haifa33 ***@***.***>; Mention ***@***.***>
Subject: Re: [cabani/MaskedFace-Net] Trained a Mask Coverage Detection model that can detect improper wear (Discussion #8)
Dear @haifa33<https://github.com/haifa33>,
Each image of the MaskedFace-Net dataset has its corresponding file naming in the FFHQ dataset. Hence, the metadata file “ffhq-dataset-v2.json” (see the FFHQ webpage) can be exploited for your processing of MaskedFace-Net.
Regards,
Maskedface-Net Team
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The dataset was really helpful in achieving my goal of creating an object detection based model that can identify if a person is not wearing his/her masks properly. More improvements are underway but then I am sure this vast dataset will help many in building something really helpful especially when a new strain of the virus is in place.
Thanks to the entire community of MaskedFace-Net
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