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Challenge Data 2015-2016

21/10/2015 - 01/07/2016

Challenge Data 2018

16/11/2017 - 27/12/2018
Challenge Data 2016-2017

21/10/2016 - 01/01/2018
Challenge Data 2015-2016

21/10/2015 - 01/07/2016

Retrieve all the products that are mentioned in magazines via a mobile application — Retrieve all the products that are mentioned in magazines via a mobile application
Selectionnist mobile application allows users to take pictures of products or pages that they see in magazines, and retrieve the products that were mentioned in this page, so that they can put them in

Classify bird songs — Classify bird songs
Can you guess which bird is singing ? Identify 50 bird species from all over South America by analyzing their songs, as recorded in the wild.

Electrod inversion detection in ECGs — Electrod inversion detection in ECGs
ECG is a temporal signal measuring the electric activity of the heart. It is very easy to record: 3 electrodes are placed at the extremities of the limbs, and 6 are placed on the chest. These 9 el

Using face recognition and clustering to associate actor faces in movies — Using face recognition and clustering to associate actor faces in movies
Given detected and tracked faces in movies, we want to gather in clusters faces that belong to the same identity.

Prediction of transaction volumes in financial markets — Prediction of transaction volumes in financial markets
Use past traded volumes of financial instruments to predict future traded quantities and optimize trading execution

Attentional Selection in a Cocktail Party — Attentional Selection in a Cocktail Party
Use electroencephalography (EEG) data to identify which speaker a person is paying attention to.

Machine Learning for Sensors Reduction in Body Posture Tracking — Machine Learning for Sensors Reduction in Body Posture Tracking
The body posture tracking can be done with 10 inertial sensors placed on the body. We want to explore a new approach where the tracking can be done with a smaller number of sensors (in this project on

SNCF – Predictive maintenance - Fault predictions on trains — SNCF – Predictive maintenance - Fault predictions on trains
SNCF propose a predictive maintenance challenge in partnership with Quantmetry. This is a classification challenge: you will have to predict faults on trains’ doors. An interesting aspect of this ch

Localisation d'abdomen de foetus — Localisation d'abdomen de foetus
Given a training set of fetal abdomen ultrasound images with ground truth bounding box of abdomen localization, you will have to train an object localization algorithm able to find the position of the

prévision des concentrations de pollution pour une mégapole asiatique — prévision des concentrations de pollution pour une mégapole asiatique
!!!! IMPORTANT !!!! !!!! IMPORTANT : files (input train) have been updated on the 10th of december in the evening !!!! !!!! IMPORTANT !!!! We want to predict the concentration of some pollutants

Sleep stages classification — Sleep stages classification
How to predict the sleep stage using electro-encephalogram (EEG) and accelerometer ?

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