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Description
Vision Detector performs image processing using a CoreML model on iPhones and iPads. Typically, CoreML models must be previewed in Xcode, or an app must be built with Xcode to run on an iPhone. However, Vision Detector allows you to easily run CoreML models on your iPhone.
To use the app, first prepare a machine learning model in CoreML format using CreateML or coreml tools. Then, copy this model into the iPhone/iPad file system, which is accessible through the iPhone's 'Files' app. This includes local storage and various cloud services (iCloud Drive, One Drive, Google Drive, Dropbox, etc.). You can also use AirDrop to store the CoreML model in the 'Files' app. After launching the app, select and load your machine learning model.
You can choose the input source image from:
- Video captured by the iPhone/iPad's built-in camera
- Still images from the built-in camera
- The photo library
- The file system
For video inputs, continuous inference is performed on the camera feed. However, the frame rate and other parameters depend on the device.
The supported types of machine learning models include:
- Image classification
- Object detection
- Style transfer
Models lacking a non-maximum suppression layer, or those that use MultiArray for input/output data, are not supported.
In the local 'Vision Detector' documents folder, you'll find an empty tab-separated values (TSV) file named 'customMessage.tsv'. This file is for defining custom messages to be displayed. The data should be organized into a table with two columns as follows:
(Label output by YOLO, etc.) (tab) (Message) (return)
(Label output by YOLO, etc.) (tab) (Message) (return)
Note: This application does not include a machine learning model.
On the iPhone, you can use the LED torch feature. When the screen is in landscape orientation, touching the screen will hide the UI and switch to full-screen mode.
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To use the app, first prepare a machine learning model in CoreML format using CreateML or coreml tools. Then, copy this model into the iPhone/iPad file system, which is accessible through the iPhone's 'Files' app. This includes local storage and various cloud services (iCloud Drive, One Drive, Google Drive, Dropbox, etc.). You can also use AirDrop to store the CoreML model in the 'Files' app. After launching the app, select and load your machine learning model.
You can choose the input source image from:
- Video captured by the iPhone/iPad's built-in camera
- Still images from the built-in camera
- The photo library
- The file system
For video inputs, continuous inference is performed on the camera feed. However, the frame rate and other parameters depend on the device.
The supported types of machine learning models include:
- Image classification
- Object detection
- Style transfer
Models lacking a non-maximum suppression layer, or those that use MultiArray for input/output data, are not supported.
In the local 'Vision Detector' documents folder, you'll find an empty tab-separated values (TSV) file named 'customMessage.tsv'. This file is for defining custom messages to be displayed. The data should be organized into a table with two columns as follows:
(Label output by YOLO, etc.) (tab) (Message) (return)
(Label output by YOLO, etc.) (tab) (Message) (return)
Note: This application does not include a machine learning model.
On the iPhone, you can use the LED torch feature. When the screen is in landscape orientation, touching the screen will hide the UI and switch to full-screen mode.
Screenshots
Vision Detector FAQ
-
Is Vision Detector free?
Yes, Vision Detector is completely free and it doesn't have any in-app purchases or subscriptions.
-
Is Vision Detector legit?
Not enough reviews to make a reliable assessment. The app needs more user feedback.
Thanks for the vote -
How much does Vision Detector cost?
Vision Detector is free.
-
What is Vision Detector revenue?
To get estimated revenue of Vision Detector app and other AppStore insights you can sign up to AppTail Mobile Analytics Platform.
User Rating
App is not rated in Russia yet.
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App Info
- Category
- Developer Tools
- Publisher
- Kazufumi Suzuki
- Languages
- English
- Recent release
- 1.5.7 (7 months ago )
- Released on
- Oct 9, 2022 (2 years ago )
- Also available in
- Japan, Colombia, Canada, Kuwait, Kazakhstan, Lebanon, Mexico, Malaysia, South Korea, Nigeria, Netherlands, Norway, Portugal, New Zealand, Peru, Philippines, Pakistan, Poland, India, Romania, Russia, Saudi Arabia, Sweden, Singapore, Thailand, Türkiye, Taiwan, Ukraine, United States, Vietnam, South Africa, Algeria, Argentina, Austria, Australia, Azerbaijan, Belgium, Brazil, Belarus, Switzerland, Chile, China, Czechia, Germany, Denmark, Dominican Republic, Italy, Ecuador, Egypt, Spain, Finland, France, United Kingdom, Greece, Hong Kong SAR China, Hungary, Indonesia, Ireland, Israel, United Arab Emirates
- Last Updated
- 2 weeks ago