Pocket AutoML APK

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Train and experiment with a deep learning model right on your device.... [readmore]


⇣ Download APK (47.56 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

Version 1.3.11
Update
Size 47.56 MB
Category Tools
Developer Evgeniy Mamchenko
Downloads ↓ 1.3K
⇣ Download APK (47.56 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

File Infos

License type Free
Version 1.3.11
Size 47.56 MB (49873698)
Filename com.evgeniymamchenko.pocketautoml_55_49873698.zip
Requirement 6.0 and up
Type app
Category Tools
Package name: com.evgeniymamchenko.pocketautoml
Slogan: Train and experiment with a deep learning model right on your device.

APK Permissions


‣ android.permission.READ_EXTERNAL_STORAGE
‣ android.permission.INTERNET
‣ android.permission.ACCESS_NETWORK_STATE
‣ android.permission.FOREGROUND_SERVICE
‣ android.permission.WRITE_EXTERNAL_STORAGE
‣ android.permission.WAKE_LOCK
‣ com.google.android.finsky.permission.BIND_GET_INSTALL_REFERRER_SERVICE


APK used Features


‣ android.hardware.camera
‣ android.hardware.camera.autofocus
‣ android.hardware.touchscreen

Screenshots (7 images)

Pocket AutoML screenshot 1 Pocket AutoML screenshot 2 Pocket AutoML screenshot 3 Pocket AutoML screenshot 4 Pocket AutoML screenshot 5 Pocket AutoML screenshot 6 Pocket AutoML screenshot 7

About Pocket AutoML APK

Pocket AutoML poster
Pocket AutoML APK version 1.3.11 poster

Latest update [menu]


• Added the Android app creation tutorial.
• Added model export in TensorFlow Lite format.
• Added model statistics.
• Fixed an issue with the app returning to the main screen, e.g. when taking or picking photos.
• Better photo quality.
• More hints for new users.
• Faster image import from device storage.
• Other bugfixes and improvements.

Description [menu]


• Pocket AutoML lets AI enthusiasts even without any prior machine learning expertise train a deep learning image classification model, export it in TensorFlow Lite format and make a custom Android app based on it following the provided tutorial.
• Computer vision or deep learning professionals can also use it as a tool to create a quick proof-of-concept for transfer learning on their tasks without a single line of code.
• It trains a model right on on your device in seconds (for a dataset with dozens of images).
• It respects your privacy: your images are never uploaded anywhere as both training and prediction happens on your device.
• It does not need an internet connection for training and predicting.
• Just few images per class can be enough to train a model that accurately classifies objects (what is known as few-shot learning).

How to install Pocket AutoML APK for Android [menu]


Download Pocket AutoML APK file (com.evgeniymamchenko.pocketautoml_55_49873698.zip) from SameAPK.com, then follow these steps:

Update Phone Settings

  • Go to your phone Settings page
  • Tap Security or Applications (varies with device)
  • Check the Unknown Sources box
  • Confirm with OK

Go to Downloads

  • Open Downloads on your device by going to My Files or Files
  • Download Split APKs Installer (SAI)
  • Download and unzip file you already downloaded (com.evgeniymamchenko.pocketautoml_55_49873698.zip)
  • Open Split APKs Installer and follow steps on this app.
  • Tap Install when prompted, the APK file you downloaded will be installed on your device.

How to install Pocket AutoML APK on Windows 7/8/10 or MAC PC? [menu]


Download Pocket AutoML APK file(com.evgeniymamchenko.pocketautoml_55_49873698.zip) from SameAPK.com to your PC (ex: /Users/xxx/Downloads/(com.evgeniymamchenko.pocketautoml_55_49873698.zip)), then follow these steps:

Using Emulator:

  • Download And Install one Emulator Softwares (Ex: Bluestacks, GenyMotion, NoxPlayer)
  • Download and unzip file com.evgeniymamchenko.pocketautoml_55_49873698.zip.
  • Using ADB or Split APKs Installer same as install for Android.

Pocket AutoML APK Pros & Cons [menu]


Pros
  • This app is safe, it's not require high risk permissions
  • Compatible with 32 bit device (most Emulator using 32bit arch CPU)
  • Compatible with 64-bit device (some android device and current Bluestacks)

Cons
Everything is good.


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