Images Classifier

🇺🇸 United States
Heng Jia Liang  | 
52
ASO score
Text
75/100
Reviews
0/100
Graphic
60/100
Other
0/100
rating
App Rating
2
rating
Votes
2
rating
App Age
3y 7m
rating
Last Update
Jul 03, 2025

Compare with Category Top Apps

Metrics
Current App
Category Top Average
Difference
Rating
0
4.66
Number of Ratings (Voted)
0
3.2M
App Age
3y 7m
7y 9m
-54%
Price
$3
$0
In-app Purchases Price
$0
$73
Update Frequency
162d
27d
+504%
Title Length
17
23
-26%
Subtitle Length
28
28
Description Length
2 668
3 056
-13%
Number of Screenshots
2730
1346
+103 %
Size
10MB
285MB
-96 %

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Top Dec 05, 2025 Dec 12, 2025
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Top Dec 05, 2025 Dec 12, 2025
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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: 2668 of 4000
)
Images Classifier enables you to identify and group images using your iPhone or iPad with custom-trained machine learning models. The app includes a built-in model, FruitsClassifier.mlmodel, which detects 8 different types of fruits using a neural network. Features: • Automatically group images into category folders, accessible via the Files app • Preview grouped images within the app • Set a classification confidence threshold - images below this value are grouped under "Other" • Load and run custom machine learning models from your library • Rename or delete models directly from the library Grouped images are saved in the Files app under: [Images Classifier / Images] To Add a Custom Model: Download a pre-trained .mlmodel file and place it in: [Images Classifier / MLModel] via AirDrop You can also train your own model using tools like CreateML or TensorFlow (models must be converted to .mlmodel format) Custom Model Tips: For example, if your model classifies 5 dog breeds - Husky, Bulldog, Golden Retriever, German Shepherd, and Beagle—it will perform accurately for those. However, classifying an unfamiliar breed like Boxer may result in incorrect predictions (e.g., classified as Bulldog). To improve results, include as many relevant classes as possible when training your model. Usage Examples: • Group plant species images in the jungle using a custom-trained model • Identify and sort dog breeds with a trained model • Classify and group wildlife or insect species • Detect and categorize defective products • And many more use cases - limited only by your creativity Quick Start Guide: 1. AirDrop your .mlmodel file (e.g., DogBreedsModel.mlmodel) into: [Images Classifier / MLModel] via the Files app 2. Launch the Images Classifier app 3. Open the Library tab and select your model (e.g., DogBreedsModel.mlmodel) 4. Load images from your Camera Roll 5. Tap Run and wait for processing to complete 6. Tap Result to view categorized images 7. Access all grouped images in the Files app under: [Images Classifier / Images] [*] Make sure your model is specifically trained for image classification (not object detection or other ML types). What is Image Classification? Image classification is the process of identifying and labeling groups of pixels or vectors within an image using predefined rules. It's a supervised learning task where a model is trained to recognize specific target classes using labeled sample images. Early computer vision models used raw pixel data as input, and this foundation still powers many modern classification techniques. Thanks for your support and do visit nitrio.com for more apps for your iOS devices.}
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Rating & Reviews

Reviews Overview
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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: 10MB
App Age: 3 years 7 months
Release Date: May 09, 2022
Last Update: Jul 03, 2025
Version: 1.1
Version history
1.1
Jul 03, 2025
- Updated for the newest devices. - Minor bugs fixed.
Mar 14, 2023
First release

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Version history