# Insights pour Use Cases Image Machine Learning

- Canonical URL: https://leandeep.com/insights-pour-use-cases-image-machine-learning/
- Author: Lean Deep
- Published: 2016-07-27T22:36:00Z
- Updated: 2016-07-27T22:36:00Z
- Language: fr
- Tags: Machine Learning
- License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)

Cette compilation de compétitions Kaggle autour de sujets d'analyse d'images peut vous faire gagner du temps dans vos propres Use Cases.


### [Digit Recognizer](https://www.kaggle.com/c/digit-recognizer)

Wed 25 Jul 2012 - Sat 31 Dec 2016

Classify handwritten digits using the famous MNIST data

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### [Facial Keypoints Detection](https://www.kaggle.com/c/facial-keypoints-detection)

Tue 7 May 2013 - Sat 31 Dec 2016

Detect the location of keypoints on face images

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### [First Steps With Julia](https://www.kaggle.com/c/street-view-getting-started-with-julia)

Mon 4 Aug 2014 - Sat 31 Dec 2016

Use Julia to identify characters from Google Street View images

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### [Painter by Numbers](https://www.kaggle.com/c/painter-by-numbers)

Fri 29 Apr 2016 - Mon 31 Oct 2016

Does every painter leave a fingerprint?

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### [Ultrasound Nerve Segmentation](https://www.kaggle.com/c/ultrasound-nerve-segmentation)

Thu 19 May 2016 - Thu 18 Aug 2016 

Identify nerve structures in ultrasound images of the neck

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### [State Farm Distracted Driver Detection](https://www.kaggle.com/c/state-farm-distracted-driver-detection)

Tue 5 Apr 2016 - Mon 1 Aug 2016

Can computer vision spot distracted drivers?

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### [Avito Duplicate Ads Detection](https://www.kaggle.com/c/avito-duplicate-ads-detection)

Fri 6 May 2016 – Mon 11 Jul 2016

Can you detect duplicitous duplicate ads?

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### [Draper Satellite Image Chronology](https://www.kaggle.com/c/draper-satellite-image-chronology)

Fri 29 Apr 2016 – Mon 27 Jun 2016

Draper provides a unique dataset of images taken at the same locations over 5 days. Kagglers are challenged to predict the chronological order of the photos taken at each location. Accurately doing so could uncover approaches that have a global impact on commerce, science, and humanitarian works.

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### [Yelp Restaurant Photo Classification](https://www.kaggle.com/c/yelp-restaurant-photo-classification)

Mon 21 Dec 2015 – Tue 12 Apr 2016

In this competition, Yelp is challenging Kagglers to build a model that automatically tags restaurants with multiple labels using a dataset of user-submitted photos.

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### [Second Annual Data Science Bowl](https://www.kaggle.com/c/second-annual-data-science-bowl)

Mon 14 Dec 2015 – Mon 14 Mar 2016

Transforming How We Diagnose Heart Disease

* 1st place: [code](https://github.com/ShuaiW/diagnose-heart)
* 2nd place: [code](https://github.com/ShuaiW/kaggle-heart) | [interview](http://blog.kaggle.com/2016/04/13/diagnosing-heart-diseases-with-deep-neural-networks-2nd-place-ira-korshunova/)
* 3rd place: [code](https://github.com/ShuaiW/kaggle_ndsb2)
* [Keras code] (https://github.com/ShuaiW/kaggle-dsb2-keras): ~0.036

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### [Right Whale Recognition](https://www.kaggle.com/c/noaa-right-whale-recognition)

Thu 27 Aug 2015 – Thu 7 Jan 2016

Identify endangered right whales in aerial photographs

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### [Diabetic Retinopathy Detection](https://www.kaggle.com/c/diabetic-retinopathy-detection)

Tue 17 Feb 2015 – Mon 27 Jul 2015

Identify signs of diabetic retinopathy in eye images

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### [National Data Science Bowl](https://www.kaggle.com/c/datasciencebowl)

Mon 15 Dec 2014 – Mon 16 Mar 2015

Predict ocean health, one plankton at a time

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### [CIFAR-10 - Object Recognition in Images](https://www.kaggle.com/c/cifar-10)

Fri 18 Oct 2013 – Sat 18 Oct 2014

Identify the subject of 60,000 labeled images

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### [UPenn and Mayo Clinic's Seizure Detection Challenge](https://www.kaggle.com/c/seizure-detection)

Mon 19 May 2014 – Tue 19 Aug 2014

Detect seizures in intracranial EEG recordings

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### [DecMeg2014 - Decoding the Human Brain](https://www.kaggle.com/c/decoding-the-human-brain)

Mon 21 Apr 2014 – Sun 27 Jul 2014

Predict visual stimuli from MEG recordings of human brain activity

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### [CONNECTOMICS](https://www.kaggle.com/c/connectomics)

Wed 5 Feb 2014 – Mon 5 May 2014

Reconstruct the wiring between neurons from fluorescence imaging of neural activity

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### [Galaxy Zoo - The Galaxy Challenge](https://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

Fri 20 Dec 2013 – Fri 4 Apr 2014

Classify the morphologies of distant galaxies in our Universe

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### [Dogs vs. Cats](https://www.kaggle.com/c/dogs-vs-cats)

Wed 25 Sep 2013 – Sat 1 Feb 2014

Create an algorithm to distinguish dogs from cats

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### [Multi-modal Gesture Recognition](https://www.kaggle.com/c/multi-modal-gesture-recognition)

Fri 21 Jun 2013 – Sun 25 Aug 2013

Recognize gesture sequences in video and depth data from Kinect

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### [Challenges in Representation Learning: Multi-modal Learning](https://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning)

Fri 12 Apr 2013 – Fri 24 May 2013

The multi-modal learning challenge

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### [Challenges in Representation Learning: The Black Box Learning Challenge](https://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge)

Fri 12 Apr 2013 – Fri 24 May 2013

Competitors train a classifier on a dataset that is not human readable, without knowledge of what the data consists of.

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### [Challenges in Representation Learning: Facial Expression Recognition Challenge](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge)

Fri 12 Apr 2013 – Fri 24 May 2013

Learn facial expressions from an image

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### [ICDAR2013 - Gender Prediction from Handwriting](https://www.kaggle.com/c/icdar2013-gender-prediction-from-handwriting)

Tue 5 Mar 2013 – Mon 15 Apr 2013

Predict if a handwritten document has been produced by a male or a female writer

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### [CHALEARN Gesture Challenge 2](https://www.kaggle.com/c/GestureChallenge2)

Tue 8 May 2012 – Tue 11 Sep 2012

Develop a Gesture Recognizer for Microsoft Kinect (TM)

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### [CHALEARN Gesture Challenge](https://www.kaggle.com/c/GestureChallenge)

Wed 7 Dec 2011 – Tue 10 Apr 2012

Develop a Gesture Recognizer for Microsoft Kinect (TM)

