Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]
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Updated
Sep 27, 2018 - Python
Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]
4th position solution to the MediaEval - The 2019 Emotion and Themes in Music using Jamendo
Repository with code to extract different features from video and images.
Binary classification of the MediaEval 2015 Verifying Multimedia Use task dataset.
This repository holds the code to the https://multimediaeval.github.io/ website. The `master` branch contains only the `_site` folder built with Jekyll due to the use of a non-whitelisted plugin. To edit content, please go to the `gh-page` branch.
MediaEval challenge 2019 - to predict the memorability of the Videos
COMP3222 Machine Learning Coursework with the aim of designing a ML algorithm to classify Twitter posts as being fake or real.
Machine Learning, Predicting Media MEmorability MediaEval'2018
A blog on Old Norse literature and similar topics, written around midnight, hence its name Midnight Mediaeval Thoughts
🎞️ "MediaEval 2018: Predicting Media Memorability" - Using machine learning and visual features to predict multimedia content memorability.
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