Building compact subset of Vision model for MLKit











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Vision model in MLKit's Cloud API has all the labels I need. In fact I need only 100 of its 10000 labels. Can we retrain a compact version of that model to detect only 100 labels and deploy it on the android device so the app can run without internet connection?






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    Vision model in MLKit's Cloud API has all the labels I need. In fact I need only 100 of its 10000 labels. Can we retrain a compact version of that model to detect only 100 labels and deploy it on the android device so the app can run without internet connection?






    firebase firebase-mlkit







    share|improve this question







    New contributor




    Sunand Sandurkar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






















      up vote
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      down vote

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      up vote
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      down vote

      favorite











      Vision model in MLKit's Cloud API has all the labels I need. In fact I need only 100 of its 10000 labels. Can we retrain a compact version of that model to detect only 100 labels and deploy it on the android device so the app can run without internet connection?






      firebase firebase-mlkit







      share|improve this question







      New contributor




      Sunand Sandurkar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      Vision model in MLKit's Cloud API has all the labels I need. In fact I need only 100 of its 10000 labels. Can we retrain a compact version of that model to detect only 100 labels and deploy it on the android device so the app can run without internet connection?






      firebase firebase-mlkit




      firebase firebase-mlkit






      share|improve this question







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      Sunand Sandurkar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Sunand Sandurkar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




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      Sunand Sandurkar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 11 hours ago









      Sunand Sandurkar

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      Sunand Sandurkar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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          That's precisely what Firebase ML Kit's image labeler does: it detects a subset of the labels that Cloud Vision detects by running a smaller ML model on-device.



          If you want to control which labels it detects on the device, you'll have to train/use a custom model.






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            That's precisely what Firebase ML Kit's image labeler does: it detects a subset of the labels that Cloud Vision detects by running a smaller ML model on-device.



            If you want to control which labels it detects on the device, you'll have to train/use a custom model.






            share|improve this answer

























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              0
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              That's precisely what Firebase ML Kit's image labeler does: it detects a subset of the labels that Cloud Vision detects by running a smaller ML model on-device.



              If you want to control which labels it detects on the device, you'll have to train/use a custom model.






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                up vote
                0
                down vote









                That's precisely what Firebase ML Kit's image labeler does: it detects a subset of the labels that Cloud Vision detects by running a smaller ML model on-device.



                If you want to control which labels it detects on the device, you'll have to train/use a custom model.






                share|improve this answer












                That's precisely what Firebase ML Kit's image labeler does: it detects a subset of the labels that Cloud Vision detects by running a smaller ML model on-device.



                If you want to control which labels it detects on the device, you'll have to train/use a custom model.







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                share|improve this answer










                answered 11 hours ago









                Frank van Puffelen

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