# ML Image Identifier Lite — Machine Learning Visualizer

> Real-time machine learning image identification for objects, cars, food, text, and faces. (iPhone/iPad app by HullBreach Studios Ltd..)

- Source: https://appshunter.io/ios/app/ml-image-identifier-lite/id1446175387 (this page in markdown: same URL + `.md`)
- Developer: [HullBreach Studios Ltd.](https://appshunter.io/developer/603818003)
- Category: Photo & Video, Education
- Price: Free
- Rating: 3.00/5 from 12 App Store ratings · 4 written reviews indexed
- Age rating: 4+
- Requires: iOS 12.2 · 127 MB
- Languages: American English
- Released: 2018-12-09
- Data updated: 2026-06-01
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/ml-image-identifier-lite/id1446175387/reviews.md

## What is ML Image Identifier Lite?

FEATURES:

ML Image Identifier is an educational app that allows your iOS device to identify images in real-time, as you move the camera around your environment. It can scan for 3 categories of images ("Objects", "Cars", and "Food") and recognize "Text" (character boxes, OCR) and "Faces" (feature landmarks).

The app automatically throttles the image processing to work on any device running iOS 12, though it may be sluggish on older devices.  Devices running iOS 13 additionally have optical character-recognition (OCR) in "Text" mode.

For the categorized images, the app displays the top-5 predicted matches, based on the neural networks' confidence levels as percentages.

BACKGROUND:

Once merely a subject of science-fiction, machine learning has permeated our lives in recent decades. We see it in numerous uses, such as handwriting recognition, facial recognition, image tagging, AI in games, targeted advertisements, predictive typing, and many automated tasks. Social networks are free because the data (i.e. text, images, survey responses, etc.) you provide can be valuable for numerous purposes. In short: Knowledge is power.

With the release of iOS 11, Apple brought machine learning to the masses with CoreML, making it possible to run neural networks and other ML-related tools via hardware acceleration on any iOS device.

This app is a demonstration of some possibilities - and some deficiencies - of machine learning.  Modeling a neural network is only one part of the task. For a ML model to work, it must be fed massive amounts of test data (similarly to how it takes a living creature numerous stimuli to learn). Good test data can yield good results; poor test data can yield poor results. Sometimes, biases of those creating the tests can come into play, since they may unknowingly weigh certain test values over others.

SPECIFICS:

ML Image Identifier makes use of 3 ML models (all MIT- or Apache- licensed) and Apple's own Vision framework to serve as examples:

"MobileNet" - This scans general objects. It works fairly well with household items. It cannot identify people. This ML model is an example of fairly high-quality results in image recognition and is much more compact than similar ML models that can be as large as 500MB.

"CarRecognition" - This scans for makes and models of vehicles. It is very hit-or-miss and seems to heavily match automobiles from specific regions of the world. Most matches are the right body type but wrong make.  This ML model is an example of mixed results in image recognition.

"Food101" - This scans for prepared foods. It rarely works with general food items and seems to focus on foods that most people will not have in their houses, such as caviar and lobster. It also returns many false-positives for desserts.  This ML model is an example of poor results in image recognition when used outside of very specific cases.

The text-recognition mode looks for all potential text in view and highlights the words and individual characters in those words for easy viewing. It also supports OCR on iOS13.

The facial-recognition mode looks for all potential human or human-like faces. Of those found, the app highlights the facial landmarks, such as eyes, nose, jawline, etc. This mode in particular works better on a newer device at a usable framerate, due to the hardware required for real-time image processing.

If you enjoy this app, please consider ad-free version.

If you enjoy the facial-recognition, consider HullBreach Studios' game "Exprestive", which is also available in the App Store.

## Key features

- Real-time image identification
- Recognizes objects, cars, food, text, and faces
- Displays top 5 predicted matches with confidence levels
- Works on iOS 12 and later
- OCR for text recognition on iOS 13+

## Recent user reviews (4 of 4)

All indexed reviews: https://appshunter.io/ios/app/ml-image-identifier-lite/id1446175387/reviews.md

### 5/5 — Very good

*2023-08-11*

Worked great for me and I was very impressed with how it worked.

### 2/5 — My wife is neither a hammer nor a moped.

*2020-07-02*

If my wife is either a hammer or a moped, and my desk chair is a barber chair, this is a pretty good app.  This does not bode well for machine learning, even the thoughtless curve-fitting type (never mind actual automated reasoning.)

### 1/5 — It is ha ring a Crisis

*2020-06-17*

It is scanning something it can’t see it was too fast I couldn’t even see a onion

### 1/5 — Nope

*2020-06-07*

It’s so bad it couldn’t even tell my cat was a cat

**Developer response:** None of the sample ML models were meant to detect animals. The organizations that trained them did so for inanimate objects, automobiles, and prepared foods.

## Frequently asked questions about ML Image Identifier Lite

### What can ML Image Identifier Lite identify?

ML Image Identifier Lite can identify 'Objects', 'Cars', and 'Food' categories, as well as 'Text' (including OCR) and 'Faces' (feature landmarks).

### How accurate is ML Image Identifier Lite?

The app displays the top 5 predicted matches with confidence levels as percentages. The accuracy varies by ML model, with 'MobileNet' for general objects performing well, while 'CarRecognition' and 'Food101' have mixed or poor results in specific cases.

### What devices are compatible with ML Image Identifier Lite?

ML Image Identifier Lite is compatible with iPhone, iPad, and iPod touch devices running iOS 12 or later. Performance may be sluggish on older devices.

### Does ML Image Identifier Lite have ads?

No, ML Image Identifier Lite does not contain advertisements.

### What is the age rating for ML Image Identifier Lite?

ML Image Identifier Lite has an age rating of 4+.

### How often is ML Image Identifier Lite updated?

The app was last updated on September 24, 2019, with version 1.3.0. The update frequency is not explicitly stated but indicates ongoing development.

### What are the limitations of the ML models used?

The 'CarRecognition' model is hit-or-miss and regional, often matching body type but not make. The 'Food101' model rarely works with general food items and focuses on specific, less common foods, with many false positives for desserts.

### What is the user sentiment for ML Image Identifier Lite?

Based on the provided data, the app has a rating of 3.0 stars from 12 ratings, suggesting a mixed user sentiment.

## Version history (last 5 releases)

### 1.3.0 — 2019-09-24

* Support for dark mode
* Added optical character-recognition (OCR) in text-recognition mode

### 1.2.5 — 2019-06-14

Minor tweaks to UI

### 1.2.4 — 2019-05-10

Code optimization

### 1.2.1 — 2019-02-18

Minor bug fix

### 1.2.0 — 2019-02-17

Face recognition and landmark highlighting

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## More apps by HullBreach Studios Ltd.

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All apps by HullBreach Studios Ltd.: https://appshunter.io/developer/603818003

## Related topics

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-06-01.*