ML Image Identifier Lite 1.3.0

HullBreach Studios Ltd. ❘ Freeware ❘
iOS
out of 11 votes

This is not a download form!

The UpdateStar program database is maintained by the users, for the users.
With your support, you can help all other users keep their software setup up-to-date. Fill out any fields that are incorrect or not up to date. We will check and evaluate your contribution as soon as possible.
Thank you for supporting UpdateStar!

Title:

Category:

Requirements:

Android

iOS

Windows

Mac

Linux

License:

Publisher:

Publisher URL:

Description:

FEATURES:

<ul>
 <li>ML Image Identifier is an educational application that enables real-time image identification on iOS devices as they are moved around the environment. It can recognize images in three main categories: "Objects," "Cars," and "Food," as well as identify "Text" content (character boxes, OCR), and recognize "Faces" by detecting feature landmarks.</li>
 <li>The app adjusts image processing levels automatically to function on any iOS 12 device, although performance may be impacted on older models. Devices with iOS 13 benefit from optical character recognition (OCR) in the "Text" mode.</li>
 <li>For categorized images, the application presents the top five predicted matches based on confidence levels derived from neural networks as percentages.</li>
</ul>

BACKGROUND:

Machine learning, once a concept confined to science fiction, has become an integral part of our daily lives over recent years. Its applications range from handwriting and facial recognition to image tagging, AI implementations in games, targeted advertising, predictive typing, and various automated processes. The value obtained from user-generated data in platforms like social networks underscores the notion that information equates to power.

With the introduction of iOS 11, Apple democratized machine learning through CoreML, facilitating the execution of neural networks and other ML tools via hardware acceleration on all iOS devices.

The ML Image Identifier serves as a demonstration showcasing the potentials and limitations of machine learning technology. Building an efficient neural network represents only a fraction of the overall task. Successful model operation requires substantial volumes of diverse test data analogous to the learning process experienced by living beings. The quality of test data plays a pivotal role: superior data results in superior outcomes, while inferior data might lead to subpar results. Furthermore, biases of those crafting the tests can inadvertently influence the outcome by giving precedence to specific test values over others.

SPECIFICS:

<ul>
 <li>"MobileNet" - Dedicated to scanning common objects, this model excels in identifying household items but lacks the ability to recognize people. Noteworthy for its high-quality inference capabilities in comparison to other voluminous ML models that can reach sizes of up to 500MB.</li>
 <li>"CarRecognition" - Designed for identifying vehicle makes and models, this model exhibits a hit-or-miss performance, with tendencies to match automobiles predominantly from certain global regions. Accuracy issues are prevalent, typically detecting the correct body type but misidentifying the make.</li>
 <li>"Food101" - Specialized in recognizing prepared foods, this model struggles with general food items and predominantly focuses on culinary offerings that might be uncommon at most households, like caviar and lobster. Known for frequent false positives when assessing desserts.</li>
</ul>

The text-recognition mode scans for all textual content within view and conveniently highlights words and individual characters for enhanced readability. Support for OCR functionality is extended on iOS13.

The facial-recognition mode identifies human or human-like faces within view and accentuates facial landmarks such as eyes, nose, and jawline. This mode performs optimally on newer devices due to enhanced hardware capabilities required for real-time image processing.

Tags:

Short description:

Installed version unknown?

Current version:

Download URL:

Direct Download URL:

Buy URL:

Icon URL:

Screenshot 1 URL:

Screenshot 2 URL:

Screenshot 3 URL:

Screenshot 4 URL:

PAD file URL:

Comment:

Your email:

Newsletter:

Please enter your email address if we may contact you should we have questions regarding your contribution. We will never share your e-mail address with any third party.

Screenshots (Click to view larger)

AI-Camera

AI-Camera is a highly efficient tool that utilizes the power of Artificial Intelligence to detect and identify objects and scenes using your iPhone's camera.

Real - Discover Fake Pictures

Real App: Unmasking the Truth Behind Digital Images

Search By Image !!

Revolutionize Your Visual Search with Search By Image !!

Ultralytics YOLO

Experience a new way of exploring the world around you with Ultralytics YOLOv8, a cutting-edge app for object detection and image classification, powered by advanced AI technology.

Latest Version
1.3.0

Secure and free downloads checked by UpdateStar

Stay up-to-date
with UpdateStar freeware.

Latest Reviews

	Resident Evil Revelations A Thrilling Return to Survival Horror
	Brother MFL-Pro Suite MFC-7840W Versatile All-in-One Solution: Brother MFL-Pro Suite MFC-7840W
	Universe Sandbox Explore the Cosmos in Universe Sandbox
	Spek Accurate Audio Analysis Made Easy with Spek
	DR-2010C CaptureOnTouch Streamlined Scanning with Canon's DR-2010C CaptureOnTouch
	Heroes of Might & Magic V A Classic Turn-Based Strategy Experience

Most Popular Downloads

	UpdateStar Premium Edition Keeping Your Software Updated Has Never Been Easier with UpdateStar Premium Edition!
	Microsoft Edge A New Standard in Web Browsing
	Google Chrome Fast and Versatile Web Browser
	Microsoft Visual C++ 2015 Redistributable Package Boost your system performance with Microsoft Visual C++ 2015 Redistributable Package!
	Microsoft Visual C++ 2010 Redistributable Essential Component for Running Visual C++ Applications
	Microsoft OneDrive Streamline Your File Management with Microsoft OneDrive