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naayaaa / Age-Gender-Pred

Age and gender prediction of multiple faces from an image using pytorch.
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Accuracy and pre-trained models #2

Open idanh opened 6 years ago

idanh commented 6 years ago

Hi, super nice project! I was wondering if you evaluated the model with mae? And if possible, would you mind sharing your pretrained model, maybe as a release? Thanks!

SantoshBajantri commented 6 years ago

Hi, super nice project! I was wondering if you evaluated the model with mae? And if possible, would you mind sharing your pretrained model, maybe as a release? Thanks!

Hey did you get pre-trained model? It would be helpful if you could send the model. I'm facing some problems in training the model. Thank You

idanh commented 6 years ago

@SantoshBajantri I did not. Nobody answered, as you can see.. And I ended up using: https://github.com/yu4u/age-gender-estimation Which was more active at the time..

SantoshBajantri commented 6 years ago

@idanh Ok thanks for the reply. I have already tried the one which you have shared, but it lacks in accuracy. Please suggest any other which performance with at-least 90% accuracy. Or share the model if you have trained your own dataset here: https://github.com/yu4u/age-gender-estimation

SandeepSreenivasan commented 5 years ago

@idanh @SantoshBajantri

I tried the pretrained model from https://github.com/yu4u/age-gender-estimation, as @SantoshBajantri has mentioned, the accuracy is bit less. Did you people try out training the model with more dataset, did you find any model with better accuracy? Could you give me some heads up regarding how to go along with.

veeri commented 4 years ago

i am using imdb images for training, as recommended in this project docs, when i run preprocess.py file it will generate the labeled folder with images, file is like age_gender_person_name, but for some images gender and age is wrong you can see in your labeled folder, with those images accuracy giving less, or is there any other issue about accuracy , can you correct me

maria1-mln commented 4 years ago

i am using imdb images for training, as recommended in this project docs, when i run preprocess.py file it will generate the labeled folder with images, file is like age_gender_person_name, but for some images gender and age is wrong you can see in your labeled folder, with those images accuracy giving less, or is there any other issue about accuracy , can you correct me I also encountered the same problem, did you solve your problem？