CompHub 实时聚合多平台的数据类(Kaggle、天池…)和OJ类(Leetcode、牛客…)比赛。本账号会推送最新的比赛消息,欢迎关注!
更多比赛信息见 CompHub主页
以下内容摘录自比赛主页(文末 阅读原文)

Part1赛题介绍
题目
Wadhwani AI Bollworm Counting Challenge
举办平台
背景
By counting the number of bollworms caught in such traps, farmers can estimate potential bollworm infestation to make informed decisions about whether pesticides should be applied to minimize future damage.
Part2时间安排
Competition closes on 4 December 2022.
Final submissions must be received by 11:59 PM GMT.
We reserve the right to update the contest timeline if necessary.
Part3奖励机制
-
1st Place: €7 500 EUR
-
2nd Place: €4 500 EUR
-
3rd Place: €3 000 EUR
Part4赛题描述
The objective is to use our training data – data captured by farmers and farm extension workers since 2018 – to build models that accurately count the number of bollworms present in the image.
Part5比赛数据
Data has been collected on cotton farms across India since 2018. In all, there are approximately 13K images. These images were captured by a variety of different app versions, by a variety of farmers and farm extension workers.

This is a postive image with 6 pink bollworm and 6 American bollworm
Part6评测指标
The evaluation metric for this competition is Mean Absolute Error (MAE).
The Wadhwani AI Bollworm Counting Challenge on Zindi aims to develop models that accurately count bollworms in cotton farm images. With a closing date of December 4, 2022, and cash prizes for the top three positions, participants have access to approximately 13K images collected since 2018. The evaluation metric is Mean Absolute Error (MAE). This competition provides an opportunity for data scientists to contribute to informed pest management decisions in agriculture.
193

被折叠的 条评论
为什么被折叠?



