MobileObjectLocalizer : Class-agnostic Mobile Object Detector

This is an introduction to「MobileObjectLocalizer」, a machine learning model that can be used with ailia SDK. You can easily use this model to create AI applications using ailia SDK as well as many other ready-to-use ailia MODELS.

Overview

MobileObjectLocalizer is a general-purpose object detection model developed by Google that can be used for any type of object. Unlike models such as YOLO which classifies objects among the 80 classes of COCO, MobileObjectLocalizer does not assign any category but it can detect any object.

Source: https://pixabay.com/photos/hot-air-balloons-sky-sunrise-dawn-4561263/

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Architecture

MobileObjectLocalizer uses MobileNetV2 and SSD-Lite. The input resolution is 192×192, and it outputs up to 100 bounding boxes.

Although the accuracy is not that high, it can detect the bounding box of any object without learning. It can be used for various applications, such as creating a 1000-class discriminator by adding ResNet50 in the later stage, or using it for auto-focus by detecting the bounding box with the highest confidence value on the screen.

Usage

You can use MobileObjectLocalizer with ailia SDK using the following command.

$ python3 mobile_object_localizer.py -v 0

ailia-models/object_detection/mobile_object_localizer

Here is an example output.

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