Object Detector and Classifier - TensorFlow Apk

Latest version 1.1.14

08 Dec 2022

Apk Infos

Version	1.1.14
Rating	3.8/5, based on 279 votes
Size‎	11.7 MB
Requires Android	Android 5.0+ (Lollipop)
Author's Notes	Object Detector and Classifier with TensorFlow Library model

About Object Detector and Classifier - TensorFlow APK

Table Of Contents

Application description
Latest updates
How to install Object Detector and Classifier - TensorFlow APK?
Questions & Answers
Reviews from verified install users

Object Detector and Classifier - TensorFlow APK Download for Android

Description

Object Detection and Classification with TensorFlow

Uses the Google TensorFlow Machine Learning Library model to detect object with your Mobile cameras in real-time, displaying the label and overlay on the camera image.

To start live preview, just open the App and you are good to go.

This app can also run on Android Things (Developer Preview 6.1).

*This app is just a demo of using Machine Learning with TensorFlow on Android devices. No internet connection is required for using this app.

Latest updates

What's new in version 1.1.14

Bug Fixes.

How to install Object Detector and Classifier - TensorFlow APK on Android phone or tablet?

Download Object Detector and Classifier - TensorFlow APK file from ApkClean, 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
Tap the APK file you downloaded (hash.tf.objectdetection-v1.1.14-ApkClean.apk)
Tap Install when prompted, the APK file you downloaded will be installed on your device.

Older Versions

1.1.14 (13)

11.7 MB

Questions & Answers

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As soon as the Play Store finds a version of the app newer than the one you've sideloaded, it will commence an update.

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Don't hesitate to contact us if you have any questions or concerns.

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User's Reivew

2 ★still long way to go for AI

1 ★Don't think it ever got an object correctly

1 ★Total waste data not work

1 ★Long way to go

1 ★Accuracy 10 % only

1 ★Iwish the best for the android team but it was a little funny! Almost everything was wrong! Mouse was cup!! Shoe:cat, charger wire: book. Clock: teadybear. Curtain: cake. Lots of things were cake i think this app loves cake.But i hope it proves and gets better bcz its a good idea. May be my mousepad was like i dnt know wot! May be adding a little machine learning wouldhelp it.

5 ★Great app to use to identify large objects around you. Not so good with smaller objects (manhole is confused with chess board for example) but overall a good first version. Anxious to see what an update will bring! Keep it up!

5 ★This app is great! When pointed at my dog (pekingese) it kept switchingbetween Dog, Cat, and Teddy Bear which is a fairly accurate assessment.When pointed at my cat, it switched between Cat, Dog, and Giraffe. Whilethis app may not detect exactly what it's looking at, my wife's nicknamefor our cat is Giraffe... So you be the judge. Lol

1 ★I tried to measure the lenhth of a bottle (actual length 30 c.m) the app showed it to be .62( without unit, most probably in ft.). It is not stable keeps on changing i.e., .8, .9, etc. In addition on the screen the bottle is shown within a frame of red/blue/green. colour. It also showed the type of object ,i.e., bottle. when I tried to measure the length of a bright painting , the app. said it is airplane !! I also tried with varying distance between object and camera but couldn't see any difference.

5 ★Not bad for version 1.0! Mostly correct, except ceiling fan recognized as"airplane 0.7"!! Did not recognize tube light... Good work, hope to see animproved version soon.

4 ★Nice! Still misses a few stuff, but very impressive overall. Specially thespeed. It can reckognise parking cars while i am passing with 40kmh next tothem. There is still room for improvement, but really good for a first try.

4 ★Cool app, but pretty inaccurate and frequently detects objects wrongly. But I believe more image recognition data would improve the app.

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