Object Recognition

Technology for detecting the position of an object within an image taken by a user

Overview

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Based on object detection algorithm

Localization is performed by recognizing the location of the pre-trained object within the image

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Search object data dictionary

Object information searched in advance using GPS and device information is used as the basis for object detection judgment

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Utilization of label-related tools

Directly specify the location and label on the training image containing the object and use it for model training

Development info

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Learning Data

500x500 images

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Learning Type

Supervised learning

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Develpment/Utilization Model

R-CNN, YOLO

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Technology Application/API

Keras, TensorFlow, Matplotlib, Pillow