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RAMP 09 Pollinating insects

présidé par Balázs Kégl (LAL), mehdi cherti (LAL/Appstat), Akin Kazakci (MINES ParisTech)
lundi 29 mai 2017 de à (Europe/Paris)
à La Paillasse
226 Rue St Denis, 75002 Paris

The Paris Saclay Center for Data Science is organizing a RAMP on image classification and deep learning. We will classify images of pollinating insects from the SPIPOLL crowdsourcing project of the Paris Museum of Natural History (MNHN).

The kick-off event will be on May 29 at La Paillasse. The RAMP will run in competitive mode (scores available on the leaderboard but not the submission codes) until 20h June 7. We will switch to the open collaborative mode starting June 8 at the event organized by Proto204 in the Protobus at Futur en Seine. The prizes of the top three contestants of the the closed phase (three pots of honey, brought to you by pollinating insects) will be awarded at the June 8 event.

The kick-off event will start with a half-day tutorial on deep learning and convolutional neural nets, followed by an introduction to the particular problem to solve, the RAMP platform, and the starting kit. The tutorial is intended to an audience with basic notions of the pydata ecosystem and machine learning. The tutorial will be based on the courses of Andrey Karpathy and Olivier Grisel/Charles Ollion.

La Paillasse has a limit of 40 participants. To enter to the kick-off/tutorial of May 29, we will ask you to sign up at the RAMP platform, sign up to the Titanic test RAMP, and make a submission. The selection among those who clear this step will be based on first-come-first-serve, but we maintain the right to change the criteria. If there is enough interest, we can add a second day later in the week.

Note that participation in the pollinating insects RAMP is not conditioned on participating in the kickoff event. The starting kit is entirely self-explanatory. 

We have not yet set up the pollinating insects event at the RAMP site, but those who would like to start preparing can download the starting kit for our previous insect classification RAMP (which had less images and classes). The starting kit contains a Jupyter notebook which you can open on your laptop. On the other hand, to execute the starting kit, you will need to have access to a GPU-equipped machine. The simplest way is to set up an account at AWS following this tutorial. We have prepared an AMI called "pollinating_insects_users" on the Frankfurt and Oregon nodes which contains the data and the starting kit preinstalled.

You can read more about RAMPs here.

Consider joining our slack team. You can receive information about ongoing and upcoming RAMPs there, share information with us and fellow rampers during and after RAMPs. You can also get help from and give advice to others. Finally, you can give us valuable
feedback to improve the platform. 

We are grateful to the Université de Champagne-Ardenne ROMEO HPC Center and Amazon Web Services for providing the GPU backend and engineering support for the RAMP, to La Paillasse for hosting the event, and to NVIDIA for sponsoring the event.

Below you can sign up to the launching event on May 29. Don't forget to also sign up at the RAMP platform.

Participants Virginia Azzolini; Inès BAHRAM; Kiran BANGALORE RAVI; Mounya BELGHITI; Issam Benabid; Alexandre Boucaud; Soobash Daiboo; Diego DE SOUZA; Rudy Delouya; dorra ELABED; Victor Estrade; Rémi Flicoteaux; Simon FRANCOIS; Aishik Ghosh; Ayoub Ghriss; wandrille guesdon; Julien Guillaumin; Okay Gunes; Ashley Hill; Moha Hillali; Men HUANG; Benoit Hubert; WEI JIANG; Balázs Kégl; Anaelle Laurans; Arnaud Lecoules; gunavadh lim; Jonathan Lumbroso; youssef maghzaz; Erwann Martin; Omar Mohammed; Boris Muzellec; karim Ould Aklouche; Andry Ramboalimanana; Nicolas SALEILLE; Théophile Sanchez; Nikhil Shetty; Amine Tamasna; Sefiane Touami; Sebastien Treguer; Joris Van den Bossche; Yaohui WANG; Yetkin Yilmaz; Roman Yurchak
Go to day
  • lundi 29 mai 2017
    • 09:00 - 09:30 Welcome of participants & Coffee
    • 09:30 - 13:00 Deep learning and convolutional neural nets tutorial
      • 09:30 Setting up AWS 30'
        Intervenant(s): Mr. mehdi cherti (LAL/Appstat), Balázs Kégl (LAL)
      • 10:00 Convnet tutorial 2h0'
        Q&A on Andrey Karpathy's course:
        Intervenant(s): Balázs Kégl (LAL), Mr. mehdi cherti (LAL/Appstat)
      • 12:00 The pollinating insect starting kit 40'
        Intervenant(s): Balázs Kégl (LAL), Mr. mehdi cherti (LAL/Appstat)
      • 12:40 NVIDIA 20'
        Intervenant: Guillaume barat (NVIDIA)
    • 13:00 - 14:00 Buffet lunch
    • 14:00 - 18:00 Pollenating insects and the RAMP platform: First submissions
      • 15:00 The RAMP: motivations and goals 15'
        Managing the data science process.
        Intervenant: Dr. Akin Kazakci (MINES ParisTech)
      • 16:00 The RAMP: where we are going 15'
        Intervenant: Balázs Kégl (LAL)