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The project helps to detect criminals based on the trained faces in its classifier

Java 5.55% CSS 27.01% HTML 10.69% JavaScript 56.76%
criminals detect-criminals faces trained-faces classifier ibm face criminal ibm-cloud ibm-watson ibm-bluemix ibm-watson-services visual-recognition alchemyapi machine-learning hackathon ibm-watson-visual-recognition acm vnit

sherlockandcriminals's Introduction

SherlockAndCriminals

The project helps to detect criminals based on the trained faces in its classifier

Sherlock and Criminals is a project developed under the IBM Bluemix Hackathon jointly organized by IBM and ACM-VNIT Chapter. This project touches the domain of criminal detection using IBM Watson Visual Recognition and Alchemy API's.

This project first extracts faces from an uploaded image, analyses the faces, scores them accordingly against a trained classifier of criminal faces and generates the result, displaying the fraction of closest match.

For more and detailed informtation, please refer to the attached documentation report PDF on this repository, titled 'Sherlock & Criminals Documentation Report.pdf'.

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