Identify Things Application icon

Identify Things 1.0

26.6 MB / 1+ Downloads / Rating 5.0 - 1 reviews


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Identify Things, developed and published by jstappdev, has released its latest version, 1.0, on 2019-08-01. This app falls under the Education category on the Google Play Store and has achieved over 50 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Identify Things APK available on this page is compatible with all Android devices that meet the required specifications (Android 5.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: org.j05t.dbclf

Updated: 6 years ago

Developer Name: jstappdev

Category: Education

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Identify Things on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

Identify Things 1.0
2019-08-01 / 26.6 MB / Android 5.0+

About this app

This is a build of the TensorFlow Slim Android example application.

www.tensorflow.org/lite

Icon created by rawpixel.com - www.freepik.com

Source code is available at github.com/tensorflow/examples
(Apache License 2.0)

New features

Updated UI.

App Permissions

Required to be able to access the camera device.