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nolanliou / mobile-deeplab-v3-plus

Deeplab-V3+ model with MobilenetV2/MobilenetV3 on TensorFlow for mobile deployment.

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How to improve accuracy?

InternetMaster1 opened this issue · comments

commented

I tried the demo on the android app using the provided pre trained models. But the cutout is not accurate

How to increase the accuracy of the mask?

Is it possible to train a lot more and get results like remove.bg?

commented
  1. Use better trainning dataset.
  2. Add post-processing module.
  3. Use better backbone
commented

Thank you so much for the answer. I am new to machine learning. Your help is much appreciated.

  1. I was planning to use the aisegment dataset and the Supervisely person. This should be enough? For how many steps should we train to get good results?

  2. Could you please explain about post processing module or provide some link?

  3. Any suggestion on what would be a better backbone?

Thanks for being patient with this newbie

commented

Hi,

  1. Thanks

  2. Thanks

  3. Backbone :- Please help!

Would resnet50 be better for accuracy? or portraitnet, etc?
Could you point me towards some evaluation metrics or a chart where there might be comparison of various backbones?

Any guidance on the backbone would be most appreciated! Thanks

commented

@InternetMaster1 hi, could you shared your datasets or project? I face the same problem. thanks!