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Images Classifier

🇺🇸 United States
Heng Jia Liang  | 
53
ASO score
Text
77/100
Reviews
0/100
Graphic
60/100
Other
0/100
rating
App Rating
2
rating
Votes
2
rating
App Age
2y 10m
rating
Last Update
Mar 14, 2023

Compare with Category Top Apps

Metrics
Current App
Category Top Average
Difference
Rating
2
4.66
-57%
Number of Ratings (Voted)
2
2.5M
-100%
App Age
2y 10m
7y 6m
-62%
In-app Purchases Price
$0
$56
Update Frequency
730d
25d
+2 822%
Title Length
17
23
-26%
Subtitle Length
28
28
Description Length
3 023
2 926
+3%
Number of Screenshots
10
7
+41 %
Size
0MB
225MB

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Ranking Keywords in United States

Keywords App Rank
Illustration
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Text ASO

Title (
Characters: 17 of 30
)
Images Classifier
Subtitle (
Characters: 28 of 30
)
Identifying and Group Images
Description (
Characters: 3023 of 4000
)
Images Classifier enables you to identify and group images with your iPhone or iPad with custom train machine learning model. Build in include FruitsClassifier.mlmodel as a default image classifier model, A neural network that detects 8 different classes of fruits. Features: • Group images into a category folder that can be accessed via Files App. • Preview group images. • Fine tune classification percentage so image classification that fall below this will be grouped into 'other' class. • Load and run custom machine learning model from libraries. • Able to Rename/Delete machine learning model from the library. You can copy/access group images in [ Images Classifier / Images ] Folder in Files App. You can download pretrain machine learning model with extension .mlmodel and put it into [ Images Classifier / MLModel ] Folder in Files App by Airdrop. Or You can train a machine learning model for Images Classifier with tools such as CreateML or Tensorflow [need conversion into .mlmodel] Custom Train Model Tips: For example, you have a trained model which classifies 5 dog breeds such as Husky, Bulldog, Golden Retriever, German Shepherd and Beagle. You can use the model to classify these 5 breeds of dog with not much issue. However, if you try to classify dog breed such as Boxer it might give inaccurate results such as Bulldog. So the train model should include as much classes of objects as possible in that category. Usage: • Group plant species Images in jungle with custom train model. • Identify and group dog breeds with custom train model. • Identify and group animal species with custom train model. • Identify and group insect species with custom train model. • Identify item status such as defective item with custom train model. • And many more depend on your imagination. Quick Start Guide: 1. Airdrop and place pretrain machine learning model with extension .Ml model [e.g. DogBreedsModel.mlmodel] into [ Images Classifier / MLModel ] Folder in Files App. 2. Load Images Classifier App. 3. Go to the Library and tap on pretrain machine learning model [e.g. DogBreedsModel.mlmodel]. 4. Load images from the camera roll, which contains different breeds of dog. 5. Tap on the Run button and wait to finish. 6. Tap on Result button to preview. 7. All images are sorted into categories and can be accessed in [ Images Classifier / Images ] Folder. [*] Make sure the train model are machine learning model that has been trained for Image Classifier. [Not Objects Detection or any Other Classifier Model] The practise of identifying and labelling groups of pixels or vectors inside an image using specified rules is known as image classification. Image classification is a supervised learning problem in which a model is trained to recognise a collection of target classes (things to identify in photographs) using labelled sample photos. Raw pixel data was used as the input to early computer vision models. Thanks for your support and do visit nitrio.com for more apps for your iOS devices.}
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Visual ASO

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Rating
2
2 voters

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Additional Information
Rating:
2
Voted: 2
App Store Link:
Price: 2.99 $
Website:
Email: -
Privacy Policy:
Categories: Productivity
Size: -
App Age: 2 years 10 months
Release Date: May 09, 2022
Last Update: Mar 14, 2023
Version:
Version history
Mar 14, 2023
First release
1.0
May 09, 2022

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