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Use OpenFace to extract features from gif dataset

Use OpenFace to extract features from gif dataset, preform clustering using knn methods Choose one social signal to create a training (80%) and test set (20%) . In order to test the performance,dataset should include confounding GIFs that are not the chosen social signal.

Use K-Nearest Neighbours (K=1 is acceptable) and 5-fold cross-validation to report the performance of K-NN classification and multidimensional DTW on created dataset

OpencvComputer visionArtificial intelligenceSklearnData science in python

Skills: Python, Machine Learning (ML), OpenCV, Artificial Intelligence, Data Science

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( 0 reviews ) Kolhapur, India

Project ID: #26407785

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Hi, I am a Forbes listed AI developer and read your problem statement. I can solve it within a fraction of the time. Let me know if I can be of any help. Cheers!

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