Comparison

ML Annotator vs Vision Detector

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

ML Annotator

This tool facilitates the annotation of images for machine learning tasks like object detection and classification. It supports team collaboration, Apple Pencil for precise drawing, and offers various data export formats. Users can also generate custom iPython notebooks to kickstart model creation.

Highlights
  • Image annotation for ML classifiers
  • Team collaboration for annotation
  • Apple Pencil support for iPad
  • Export training data in multiple formats
  • Generate custom iPython notebooks
  • Training data improvement suggestions
Features
Read full description

ML Annotator allows you to annotate images for use in image segmentation, object detection, video classification and image classification machine learning classifiers. We have many features that make ML Annotator the best way to supercharge your machine learning workflow. - Invite others to your organization so you can annotate the images as a team - Full Apple Pencil support to make annotating super fast if you have an iPad - Download training data in various formats so that you can plug them into your machine learning workflow - Download a custom generate iPython Notebook to provide you with a starting point of how to create a model from your training data - Get suggestions from the app about things that might improve your trainging data

About

Vision Detector

Easily test and evaluate Core ML models on your iPhone or iPad. Load your own models from various cloud services or local storage and run them using live camera feed or stored images. Supports image classification, object detection, and style transfer.

Highlights
  • Run Core ML models on device
  • Load models from cloud storage
  • Live camera feed inference
  • Image classification support
  • Object detection support
  • Style transfer support
Features
Read full description

Vision Detector is an AI image analysis tool that supports CoreML machine learning models, multi-modal Large Language Models, and on-device Apple Intelligence. Choose the mode that best fits your use case. You can choose one of the following image input sources: - Live video by built-in camera - Still image by the built-in camera - Photo Library - Files (iCloud, Google Drive, Dropbox, etc) For live video inputs, continuous inference is performed on the camera feed. However, the frame rate and other parameters depend on the device. # Notification Center Vision Detector can call Notification Center for predefined conditions. Broadcasting notifications send notification to your all Apple devices signed in with the same Apple Account. ## CoreML Mode Vision Detector locally executes CoreML models using Apple’s Vision framework. Before using this mode, prepare a machine learning model in the CoreML format (.mlmodel or .mlpackage) using Create ML. Import ML models via iClpoud or AirDrop. Vision Detector supports the following types of CoreML models: - Image classification - Object detection - Style transfer ## Vision LLM Mode Vision Detector can use multi-modal large language model (LLMs). Define what to do with prompt as following samples: - If the image is screen shot, answer the name software - Call notification when you see a cat - Count number of persons in the image, and notify when it changes ## Apple Intelligence mode Available with iOS 27 on selected devices (iPhone 17 Pro, iPhone Air, etc). The images are completely processed on your device locally with your prompt.

Screenshots

ML Annotator4 screens
Vision Detector3 screens

Verdict

The call

The clearest difference is review sentiment: Vision Detector at 100% against ML Annotator's 60%. ML Annotator's advantage is update cadence (every 3 days vs every 10 days) and iOS requirement (15.0 vs 18.2). On price, ads, in-app purchases and monetization model there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

ML Annotator ships an update every 3 days, Vision Detector every 10 days. The most recent releases landed on September 7, 2026 and September 21, 2026 respectively.

Scorecard3 real differences · 7 level
ML Annotator versus Vision Detector: the parameters behind the verdict, then further details
ParameterML AnnotatorVision Detector
PriceFreeFree
Rating3.0 (4 ratings) — better—
Positive reviews60.0% of reviews100.0% of reviews — better
Number of ratings4 — better—
Update frequencyEvery 3 days — betterEvery 10 days
AdsNoNo
In-app purchasesNoNo
MonetizationFreeFree
DevicesiPhone, iPad, iPod, Mac — betteriPhone, iPad, Mac
Requires iOS15.0 — better18.2
Further details — not scored
Size8 MB1 MB
Age rating4+4+
DeveloperDito Technologies LLCKazufumi Suzuki

Customer experience

ML Annotator

All ratings4 ratings
Positive50.0%
Neutral0.0%
Negative50.0%
Written reviews5 reviews
Positive60.0%
Neutral0.0%
Negative40.0%

Vision Detector

Written reviews1 reviews
Positive100.0%
Neutral0.0%
Negative0.0%

In-app purchases

None

ML Annotator

No in-app purchases

None

Vision Detector

No in-app purchases

Questions

Is ML Annotator free?
ML Annotator is free to download, with no in-app purchases.
Is Vision Detector free?
Vision Detector is free to download, with no in-app purchases.
Do ML Annotator or Vision Detector have ads?
Neither ML Annotator nor Vision Detector shows ads.
Which is updated more often, ML Annotator or Vision Detector?
ML Annotator ships an update every 3 days, and Vision Detector every 10 days. Most recently, ML Annotator was updated on September 7, 2026 and Vision Detector on September 21, 2026.

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