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?
firebase firebase-mlkit asked 11 hours ago
Sunand Sandurkar
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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 asked 11 hours ago
Sunand Sandurkar
6
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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.
add a comment |
up vote
0
down vote
favorite
up vote
0
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 asked 11 hours ago
Sunand Sandurkar
6
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 asked 11 hours ago
Sunand Sandurkar
6
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.
asked 11 hours ago
Sunand Sandurkar
6
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.
asked 11 hours ago
Sunand Sandurkar
6
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.
asked 11 hours ago
Sunand Sandurkar
6
asked 11 hours ago
Sunand Sandurkar
6
6
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.
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.
Sunand Sandurkar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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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.
answered 11 hours ago
Frank van Puffelen
219k25361387
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
answered 11 hours ago
Frank van Puffelen
219k25361387
add a comment |
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.
answered 11 hours ago
Frank van Puffelen
219k25361387
add a comment |
up vote
0
down vote
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.
answered 11 hours ago
Frank van Puffelen
219k25361387
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.
answered 11 hours ago
Frank van Puffelen
219k25361387
answered 11 hours ago
Frank van Puffelen
219k25361387
answered 11 hours ago
Frank van Puffelen
219k25361387
answered 11 hours ago
Frank van Puffelen
219k25361387
219k25361387
add a comment |
add a comment |
Sunand Sandurkar is a new contributor. Be nice, and check out our Code of Conduct.
Sunand Sandurkar is a new contributor. Be nice, and check out our Code of Conduct.
Sunand Sandurkar is a new contributor. Be nice, and check out our Code of Conduct.
Sunand Sandurkar is a new contributor. Be nice, and check out our Code of Conduct.
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