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Around Me - Image Recognition 7.0.5

4.6 MB / 10+ Downloads / Rating 4.0 - 45 reviews


See previous versions

Around Me - Image Recognition, developed and published by Xenon Studio, has released its latest version, 7.0.5, on 2018-03-23. This app falls under the Productivity category on the Google Play Store and has achieved over 1000 installs. It currently holds an overall rating of 4.0, based on 45 reviews.

Around Me - Image Recognition APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.0+). 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: com.thunkable.android.harshilpatelextra.Around_Me

Updated: 7 years ago

Developer Name: Xenon Studio

Category: Productivity

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Around Me - Image Recognition 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.

App Rating

4.0
Total 45 reviews

Reviews

2 ★, on 2019-02-14
barely works. It indicates laptops everywhere but there is none. Even thinks there is a cat where there is just a wall. For pictures with multiple objects, some of them are recognized. however a lot of work remains. one suggestion: which light conditions did you consider to train your network? i noticed that the app works better with higher intensity light and much worse with medium/darky environments. try to expand training set with same pictures, but processed to emulate different ligthnings.

5 ★, on 2019-01-14
This app recognized a person, which even Google Lens could not do. Great Job developers. <3

1 ★, on 2018-09-18
Not accurate and veery slow

1 ★, on 2019-07-24
i guess i will give it 1just because someone put some kind of effort into makeing the app. so far i took a picture of some prayer beads I found and it says its a man laying in a bed....are u kidding me, hahaha.if it cant tell what it is it will just shut down. (good idea if you could make it work.)

4 ★, on 2018-08-09
I like your app and I installed it. So would you like to install my app on Google play called " AIIR normal "

5 ★, on 2018-05-30
Quick response but needs UI Improvement

Previous Versions

Around Me - Image Recognition 7.0.5
2018-03-23 / 4.6 MB / Android 4.0+

About this app

Image And Emotion Recognizer

Image Search , Photo Recognizer
It Recognizes Mostly Every Thing

Just Upload Image And Detail Of That Image

Request parameters
visualFeatures (optional)
string

A string indicating what visual feature types to return. Multiple values should be comma-separated.
Valid visual feature types include:

Categories - categorizes image content according to a taxonomy defined in documentation.
Tags - tags the image with a detailed list of words related to the image content.
Description - describes the image content with a complete English sentence.
Faces - detects if faces are present. If present, generate coordinates, gender and age.
ImageType - detects if image is clipart or a line drawing.
Color - determines the accent color, dominant color, and whether an image is black&white.


details (optional)
string

A string indicating which domain-specific details to return. Multiple values should be comma-separated.
Valid visual feature types include:

Celebrities - identifies celebrities if detected in the image.
Landmarks - identifies landmarks if detected in the image.

language (optional)
string

A string indicating which language to return. The service will return recognition results in specified language. If this parameter is not specified, the default value is "en".
Supported languages:

en - English, Default.
zh - Simplified Chinese.

Request headers
Content-Type (optional)
string
Media type of the body sent to the API.

App Is Build With Thunkable App Inventor

New features

*Status Bar Color Changed
*Performance Improved
*UI Menu Changed
*Minor Bug Fixed
*Advertisement Minimized

App Permissions

Allows access to the vibrator.
Allows an application to receive the ACTION_BOOT_COMPLETED that is broadcast after the system finishes booting.
Allows an application to write to external storage.
Allows applications to open network sockets.
Allows applications to access information about networks.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows applications to access information about Wi-Fi networks.
Required to be able to access the camera device.
Allows an application to read from external storage.