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[资料信息共享] [CVPR2021] 1st eBay eProduct Visual Search Challenge, $2000

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大家好,eBay 今年开了一个Visual Search 比赛,希望感兴趣的同学来参加。也可以互相转告。总共$2000刀的奖金,海量数据,图像和文字都有,可随意搭构模型。还可以提交文章到CVPR 2021,提升简历经验。不要错过这个一举多得的好机会。详情如下(可参考附件)。报名链接:https://eval.ai/web/challenges/challenge-page/888/overview 希望版主也能帮忙推一推。

eBay eProduct Visual Search Challenge - FGVC8 (CVPR2021)
Organized by: eBay-CV
Starts on: Apr 16, 2021 12:00:00 AM (PST). 1point 3acres
Ends on: Jun 5, 2021 11:55:59 PM (PST)
. check 1point3acres for more.
The Challenge: Large-scale product recognition is one of the major applications of computer vision and machine learning in the e-commerce domain. Since the number of products is typically much larger than the number of categories of products, image-based product recognition is often cast as a visual search rather than a classification problem. It is also one of the instances of super fine-grained recognition, where there are many products with slight or subtle visual differences. It has always been a challenge to create a benchmark dataset for training and evaluation on various visual search solutions in a real-world setting. This motivated creation of eProduct, a dataset consisting of 2.5 million product images towards accelerating development in the areas of self-supervised learning, weakly-supervised learning, and multimodal learning, for fine-grained recognition.

Prize: $1,000 - 1st winner, $600 - 2nd winner, $400 - 3rd winner

Data Set: 1.3M+ Training Set and 5K query and 1.1M+ index images Evaluation Set.

Important dates: PST. From 1point 3acres bbs

·      16th April 2021: Beginning of Dev Phase

·      27th May 2021: Dev Phase ends.

·      28th May 2021: Beginning of the Test Phase.google  и

·      5th June 2021: Test Phase ends.

·      12th June 2021: Submission Deadline.

·      15th June 2021: Announce winner teams.

·      25th Jun 2021: Workshop day! Winner Presentation Day!
.google  и
Details and Participate: https://eval.ai/web/challenges/challenge-page/888/overview

Contacts: DL-eBay-CV-eProduct@ebay.com

eBay eProduct Visual Search Challenge_v1.pdf

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