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Its MachineLearning Project which detects objects and scenarios in a given image

License: GNU General Public License v3.0

C++ 52.08% Python 42.79% C 5.13%
python machinelearning machine-learning-algorithms

image-annotation's Introduction

IMAGE ANOTATION

Team Ravens

Image Annotation Using Metric Learning in Semantic Neighbourhoods

read.cppFor reading the data for Demo
Image_anno.pyMain code for project

Code_Description.txt : This file contains the detailed description of the both the files written

We have used value of 'K' for the nearest neighbour selection, one can change and check for different values by passing different value to the main function of the "Image_anno.py"

AS we have already uploaded the extracted files in '.txt' format for the training and test data. there is no use of running the Read.cpp file.

Directly run the main(k) function of the Image_anno.py with any integer value 'K' and it will run as per requirement.

Result.md file contain the result obtained when ran the code of 'k=4' 'k=6' 'k=8'

image-annotation's People

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