Kaggle活躍競(jìng)賽匯總（2022年5月）

入門深度學(xué)習(xí)后，如何提升自己的實(shí)戰(zhàn)能力？最好的選擇當(dāng)然是做項(xiàng)目打比賽。kaggle學(xué)術(shù)活動(dòng)平臺(tái)是最好的選擇之一。為了方便大家順利完成的學(xué)術(shù)活動(dòng)，我們整理了現(xiàn)有2022年5月Kaggle平臺(tái)上的比賽信息！

BirdCLEF 2022

https://www.kaggle.com/c/birdclef-2022

比賽介紹：Identify bird calls in soundscapes

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：237/205/1822

組隊(duì)時(shí)間：20220215 - 20220524

GeoLifeCLEF 2022 - LifeCLEF 2022 x FGVC9

https://www.kaggle.com/c/geolifeclef-2022-lifeclef-2022-fgvc9

比賽介紹：Location-based species presence prediction

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：33/30/92

組隊(duì)時(shí)間：20220309 - 20220524

Herbarium 2022 - FGVC9

https://www.kaggle.com/c/herbarium-2022-fgvc9

比賽介紹：Identify plant species of the Americas from herbarium specimens

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：106/92/802

組隊(duì)時(shí)間：20220214 - 20220530

iWildCam 2022 - FGVC9

https://www.kaggle.com/c/iwildcam2022-fgvc9

比賽介紹：Count the number of animals in a sequence of images

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：4/4/31

組隊(duì)時(shí)間：20220321 - 20220530

Sorghum -100 Cultivar Identification - FGVC 9

https://www.kaggle.com/c/sorghum-id-fgvc-9

比賽介紹：Identify crop varietals

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：167/149/1541

組隊(duì)時(shí)間：20220315 - 20220530

Hotel-ID to Combat Human Trafficking 2022 - FGVC9

https://www.kaggle.com/c/hotel-id-to-combat-human-trafficking-2022-fgvc9

比賽介紹：Recognizing hotels to aid Human trafficking investigations

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：104/59/598

組隊(duì)時(shí)間：20220316 - 20220530

Image Matching Challenge 2022

https://www.kaggle.com/c/image-matching-challenge-2022

比賽介紹：Register two images from different viewpoints

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：511/435/5197

組隊(duì)時(shí)間：20220404 - 20220602

U.S. Patent Phrase to Phrase Matching

https://www.kaggle.com/c/us-patent-phrase-to-phrase-matching

比賽介紹：Help Identify Similar Phrases in U.S. Patents

比賽類型：Host_segment_featured

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：1216/1085/10178

組隊(duì)時(shí)間：20220321 - 20220620

JPX Tokyo Stock Exchange Prediction

https://www.kaggle.com/c/jpx-tokyo-stock-exchange-prediction

比賽介紹：Explore the Tokyo market with your data science skills

比賽類型：Host_segment_featured

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：1014/896/6199

組隊(duì)時(shí)間：20220404 - 20220705

Foursquare - Location Matching

https://www.kaggle.com/c/foursquare-location-matching

比賽介紹：Match point of interest data across datasets

比賽類型：Host_segment_featured

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：440/401/2913

組隊(duì)時(shí)間：20220414 - 20220707

Kore 2022

https://www.kaggle.com/c/kore-2022

比賽介紹：Use a fleet of spaceships to mine minerals before your opponents

比賽類型：Host_segment_featured

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：205/188/1549

組隊(duì)時(shí)間：20220412 - 20220712

UW-Madison GI Tract Image Segmentation

https://www.kaggle.com/c/uw-madison-gi-tract-image-segmentation

比賽介紹：Track healthy organs in medical scans to improve cancer treatment

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：460/408/4197

組隊(duì)時(shí)間：20220414 - 20220714

Ubiquant Market Prediction

https://www.kaggle.com/c/ubiquant-market-prediction

比賽介紹：Make predictions against future market data

比賽類型：Host_segment_featured

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：3376/2810/62084

組隊(duì)時(shí)間：20220118 - 20220718

Google Smartphone Decimeter Challenge 2022

https://www.kaggle.com/c/smartphone-decimeter-2022

比賽介紹：Improve high precision GNSS positioning and navigation accuracy on smartphones

比賽類型：Host_segment_research

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：84/83/254

組隊(duì)時(shí)間：20220502 - 20220729

Predict Future Sales

https://www.kaggle.com/c/competitive-data-science-predict-future-sales

比賽介紹：Final project for "How to win a data science competition" Coursera course

比賽類型：Playground

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：15675/14724/125651

組隊(duì)時(shí)間：20180219 - 20221231

Digit Recognizer

https://www.kaggle.com/c/digit-recognizer

比賽介紹：Learn computer vision fundamentals with the famous MNIST data

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：2096/2095/8317

組隊(duì)時(shí)間：20120725 - 20300101

Titanic: Machine Learning from Disaster

https://www.kaggle.com/c/titanic

比賽介紹：Start here! Predict survival on the Titanic and get familiar with ML basics

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：14226/14102/54938

組隊(duì)時(shí)間：20120928 - 20300101

House Prices: Advanced Regression Techniques

https://www.kaggle.com/c/house-prices-advanced-regression-techniques

比賽介紹：Predict sales prices and practice feature engineering, RFs, and gradient boosting

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：4555/4325/24085

組隊(duì)時(shí)間：20160830 - 20300101

Connect X

https://www.kaggle.com/c/connectx

比賽介紹：Connect your checkers in a row before your opponent!

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：241/226/748

組隊(duì)時(shí)間：20200103 - 20300101

Real or Not? NLP with Disaster Tweets

https://www.kaggle.com/c/nlp-getting-started

比賽介紹：Predict which Tweets are about real disasters and which ones are not

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：912/872/3704

組隊(duì)時(shí)間：20191223 - 20300101

Petals to the Metal: Flower Classification on TPU

https://www.kaggle.com/c/tpu-getting-started

比賽介紹：Getting Started with TPUs on Kaggle!

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：181/163/609

組隊(duì)時(shí)間：20200618 - 20300603

Store Sales - Time Series Forecasting

https://www.kaggle.com/c/store-sales-time-series-forecasting

比賽介紹：Use machine learning to predict grocery sales

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：920/901/3217

組隊(duì)時(shí)間：20211006 - 20300630

Contradictory, My Dear Watson

https://www.kaggle.com/c/contradictory-my-dear-watson

比賽介紹：Detecting contradiction and entailment in multilingual text using

TPUs比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：43/39/104

組隊(duì)時(shí)間：20200730 - 20300701

I’m Something of a Painter Myself

https://www.kaggle.com/c/gan-getting-started

比賽介紹：Use GANs to create art - will you be the next Monet?

比賽類型：Getting Started

人數(shù)/隊(duì)伍數(shù)/提交數(shù)：189/136/938

組隊(duì)時(shí)間：20200828 - 20300701

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