Building compact subset of Vision model for MLKit
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
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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
add a comment |
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
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 Nov 21 '18 at 16:10
Sunand SandurkarSunand Sandurkar
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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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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
add a comment |
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.
add a comment |
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.
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 Nov 21 '18 at 16:18
Frank van PuffelenFrank van Puffelen
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244k29387415
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