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ID: com.edodm85.tfmulticlassifier.free

  • Author:

  • Version:

    2.2.1

  • Update on:

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The description of TF Multi Classifier


TF Multi Classifier App uses Tensorflow lite to classify camera frames in real time.
The results are displayed on the top of the screen.

The App supports these processing hardware:
- CPU (all phones)
- NNAPI (requires Android 8.1 or higher)
- GPU (requires OpenGL ES 3.1 or higher)

The App starts with a default google dataset but if you want you can insert a custom dataset.

The defaul dataset is: quantized Mobilenet model (mobilenet_quant_v1_224).

You can download the following datasets from here: http://bit.ly/2BvvDNT
- Dog Breed (created with Transfer learning)
- Dog Vs Cat (created with Transfer learning)
- Bird (converted from google pb dataset)
- Insect (converted from google pb dataset)
- Plant (converted from google pb dataset)
- Seefood (converted from google pb dataset)


You can find my tutorial here: http://bit.ly/2V3giK9




NB: For custom App contact me.

Please rate and review so I can make it better!
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  • Category

    Tools
  • Get it on:

    Go Google Play com.edodm85.tfmulticlassifier.free
  • Requirements:

    Android 5.0+

TF Multi Classifier 2.2.1 APK for Android 5.0+

Version 2.2.1 for Android 5.0+
Update on 2022-01-15
Installs 100++
File size 65.323.617 bytes
Permissions view permissions
What's new v2.2.1
- Deleted efficientNet Models from Default model
- Graphics changed into "Dataset Manager"
- Fixed multiple initialization of LocalBroadcastManager

v2.2.0
- Added new shortcut buttons (Default dataset-Trained-Custom dataset)
- Added new EfficientNet models
- Updated SDK

v2.1.1
- Internal fixes

v2.1.0
- Internal fixes
- Added Dark theme

Versions history:

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