Firebase ML Kit: Pre-Trained Models
I can see there are 3 pre-trained models included in the assets folder of the ML-Kit sample app.
Please help me understand
- Which of these models correspond to face detection?
- What is the data set used to train these models?
android tensorflow face-detection tensorflow-lite firebase-mlkit edited Nov 16 '18 at 12:27
Fantômas
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asked Nov 16 '18 at 9:36
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I can see there are 3 pre-trained models included in the assets folder of the ML-Kit sample app.
Please help me understand
- Which of these models correspond to face detection?
- What is the data set used to train these models?
android tensorflow face-detection tensorflow-lite firebase-mlkit edited Nov 16 '18 at 12:27
Fantômas
32.8k156491
asked Nov 16 '18 at 9:36
Subhash_ReddySubhash_Reddy
95313
add a comment |
I can see there are 3 pre-trained models included in the assets folder of the ML-Kit sample app.
Please help me understand
- Which of these models correspond to face detection?
- What is the data set used to train these models?
android tensorflow face-detection tensorflow-lite firebase-mlkit edited Nov 16 '18 at 12:27
Fantômas
32.8k156491
asked Nov 16 '18 at 9:36
Subhash_ReddySubhash_Reddy
95313
I can see there are 3 pre-trained models included in the assets folder of the ML-Kit sample app.
Please help me understand
- Which of these models correspond to face detection?
- What is the data set used to train these models?
android tensorflow face-detection tensorflow-lite firebase-mlkit android tensorflow face-detection tensorflow-lite firebase-mlkit edited Nov 16 '18 at 12:27
Fantômas
32.8k156491
asked Nov 16 '18 at 9:36
Subhash_ReddySubhash_Reddy
95313
edited Nov 16 '18 at 12:27
Fantômas
32.8k156491
asked Nov 16 '18 at 9:36
Subhash_ReddySubhash_Reddy
95313
edited Nov 16 '18 at 12:27
Fantômas
32.8k156491
edited Nov 16 '18 at 12:27
Fantômas
32.8k156491
edited Nov 16 '18 at 12:27
Fantômas
32.8k156491
32.8k156491
asked Nov 16 '18 at 9:36
Subhash_ReddySubhash_Reddy
95313
asked Nov 16 '18 at 9:36
Subhash_ReddySubhash_Reddy
95313
asked Nov 16 '18 at 9:36
Subhash_ReddySubhash_Reddy
95313
95313
add a comment |
add a comment |
1 Answer
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Those are custom models provided to highlight the ML Kit functionality that allows you to bring your own TFLite models.
The pre-trained APIs, also known as Base APIs (text recognition, image labeling, etc) get added by including the appropriate libraries in your app's gradle file. No need to include anything in your assets folder. See an example here:
https://firebase.google.com/docs/ml-kit/android/recognize-text
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Those are custom models provided to highlight the ML Kit functionality that allows you to bring your own TFLite models.
The pre-trained APIs, also known as Base APIs (text recognition, image labeling, etc) get added by including the appropriate libraries in your app's gradle file. No need to include anything in your assets folder. See an example here:
https://firebase.google.com/docs/ml-kit/android/recognize-text
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
add a comment |
Those are custom models provided to highlight the ML Kit functionality that allows you to bring your own TFLite models.
The pre-trained APIs, also known as Base APIs (text recognition, image labeling, etc) get added by including the appropriate libraries in your app's gradle file. No need to include anything in your assets folder. See an example here:
https://firebase.google.com/docs/ml-kit/android/recognize-text
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
add a comment |
Those are custom models provided to highlight the ML Kit functionality that allows you to bring your own TFLite models.
The pre-trained APIs, also known as Base APIs (text recognition, image labeling, etc) get added by including the appropriate libraries in your app's gradle file. No need to include anything in your assets folder. See an example here:
https://firebase.google.com/docs/ml-kit/android/recognize-text
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
Those are custom models provided to highlight the ML Kit functionality that allows you to bring your own TFLite models.
The pre-trained APIs, also known as Base APIs (text recognition, image labeling, etc) get added by including the appropriate libraries in your app's gradle file. No need to include anything in your assets folder. See an example here:
https://firebase.google.com/docs/ml-kit/android/recognize-text
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
answered Dec 4 '18 at 13:54
Sachin KSachin K
197212
197212
add a comment |
add a comment |
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