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Image recogniser for visualy impared 5.0

1.3 MB / 5+ Downloads / Rating 4.4 - 10 reviews


See previous versions

Image recogniser for visualy impared, developed and published by Hookshy, has released its latest version, 5.0, on 2024-07-03. This app falls under the Productivity category on the Google Play Store and has achieved over 500 installs. It currently holds an overall rating of 4.4, based on 10 reviews.

Image recogniser for visualy impared 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: hook.vision.ro

Updated: 8 months ago

Developer Name: Hookshy

Category: Productivity

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Image recogniser for visualy impared 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

4.4
Total 10 reviews

Reviews

5 ★, on 2018-11-06
Nice app for blinds

Previous Versions

Image recogniser for visualy impared 5.0
2024-07-03 / 1.3 MB / Android 4.0+

Image recogniser for visualy impared 3.0
2023-01-24 / 1.2 MB / Android 4.0+

About this app

What the aplication do ?
- recognise objects using camera
- it predicts your age when takeing a selfie
- it reads color codes from pictures
- associates your face with celebrity
- detects apparel
- tells you if the pictures contains objects sfw (suited for work)

App is build with love with b4a.

Who can use this app ?
This app can be use for all people with no exceptions .
If you are a visual impared person using talkback then I expect you to return a feed back , tell us if it is good for you and how we can improve.
The app translate the content in diferent european languages .

Description of service provided by clarifai.com
The ‘Apparel’ model recognizes more than 100 fashion-related concepts including clothing and accessories. This model is great for anyone building a fashion-related app such an e-commerce platform or a fashion curation site.

The ‘Celebrity’ model analyzes images and returns probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities. This model is great for anyone building an app that relies on celebrity comparisons.

The ‘Color’ model returns density values for dominant colors present in images. Color predictions are returned in hex format and also mapped to their closest W3C counterparts. This model is great for anyone building an app where color is an important distinguisher.

The ‘Demographics’ model analyzes images and returns information on age, gender, and multicultural appearance for each detected face based on facial characteristics. This model is great for anyone building an app that relies on demographic information to understand users.

The ‘General’ model recognizes over 11,000 different concepts including objects, themes, moods, and more. This model is a great all-purpose solution for most visual recognition needs.



Thank you and enjoy
Hookshy

App Permissions

Allows an application to write to external storage.
Allows applications to open network sockets.
Required to be able to access the camera device.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows an application to read from external storage.