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Object Detection Cam enable you to detect object with your iPhone or iPad with custom train machine learning model

Object Detection Cam

by Nitrio

What is it about?

Object Detection Cam enable you to detect object with your iPhone or iPad with custom train machine learning model. Build in include YOLOv3Tiny.mlmodel as default object detection model, A neural network for fast object detection that detects 80 different classes of objects.

App Details

Version
1.0
Rating
NA
Size
42Mb
Genre
Photo & Video Utilities
Last updated
February 10, 2020
Release date
February 10, 2020
More info

App Screenshots

App Store Description

Object Detection Cam enable you to detect object with your iPhone or iPad with custom train machine learning model. Build in include YOLOv3Tiny.mlmodel as default object detection model, A neural network for fast object detection that detects 80 different classes of objects.


Object Detection Cam Features:
● Load and run custom machine learning model from library.
● Able to Rename/Delete machine learning model from library.
● Photo capture are save into photo library for fast and easy access.
● Able to set Sound when object is detected.
● Able to select difference sound tone for object detection.
● Show machine learning model classes.

If the object detection model detect an object which include in the model, a frame will appear with object name include, confidence value range from 0.0 - 1.0, the closer the value to 1.0 the more likely the object match it title name.

You can download pretrain machine learning model with extension .mlmodel and put it into Object Detection Cam Folder in Files App by Airdrop.

Or You can train a machine learning model for Object Detection with tool such as CreateML or Tensorflow [need conversion into .mlmodel]

Custom Train Model Tips:
For example, you have a trained model which detect 5 dog breeds such as Husky, Bulldog, Golden Retriever, German Shepherd and Beagle. You can use the model to detect these 5 breeds of dog with not much issue. However, if you try to detect dog breed such as Boxer it might give inaccurate result such as Bulldog. So the train model should include as much classes of objects as possible for that category.

Usage:
● Detect plant species in jungle with custom train model.
● Identify dog breeds with custom train model.
● Identify animal species with custom train model.
● Identify insect species with custom train model.
● Monitoring item status such as defective item with custom train model.
● And many more depend on your imagination.


[*] Make sure the train model are machine learning model that has been trained to Detect Objects in images. [not Image Classifier Model or any Other Classifier Model]


Thanks for your support and do visit nitrio.com for more apps for your iOS devices.

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