1.1.2 Safe to install
With this application, users can effortlessly identify dog breeds and access detailed information by simply taking a picture.
Overview
DogeDex - dog recognizer is a Freeware software in the category Education developed by Doga Bayram.
The latest version of DogeDex - dog recognizer is 1.1.2, released on 08/26/2024. It was initially added to our database on 08/26/2024.
DogeDex - dog recognizer runs on the following operating systems: iOS.
Users of DogeDex - dog recognizer gave it a rating of 3 out of 5 stars.
FAQ
What is DogeDex?
DogeDex is a dog recognizer app developed by Doga Bayram that helps identify dog breeds using image recognition technology.
How does DogeDex work?
Users take a picture of a dog, and the app analyzes the image to recognize and provide information about the breed.
Is DogeDex available on all mobile devices?
DogeDex is available for both iOS and Android devices; check your app store for compatibility.
Do I need an internet connection to use DogeDex?
Yes, DogeDex requires an internet connection for the image recognition features and accessing breed information.
Is there a cost to download and use DogeDex?
DogeDex is free to download, but it may offer in-app purchases for premium features.
Can I use DogeDex to identify mixed-breed dogs?
Yes, DogeDex can analyze images of mixed-breed dogs and provide the closest breed matches.
How accurate is the breed recognition in DogeDex?
The accuracy of breed recognition varies but is generally high; continual updates improve reliability.
Are there any privacy concerns with using DogeDex?
DogeDex takes user privacy seriously and does not store personal data; images are processed for breed identification only.
Can I share my results from DogeDex on social media?
Yes, users can share the results and information about their dog's breed on social media directly from the app.
Who can benefit from using DogeDex?
Dog owners, dog lovers, and anyone interested in learning more about different dog breeds can benefit from using DogeDex.
Screenshots (Click to view larger)
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