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team-learning's Introduction

Datawhale 组队学习

第13期Datawhale组队学习计划马上就要开始啦!

本次组队学习的内容为:计算机视觉实践(街景字符编码识别),该内容来自 Datawhale与天池联合发起的“0基础入门系列”赛事第二场。

大家可以根据我们的开源内容进行自学,也可以加入我们的组队学习一起来学。


计算机视觉实践(街景字符编码识别)

内容设计:刘羽中(阿水),安晟,王程伟,张强,伊雪

最终审核:刘羽中(阿水),王茂霖

定位人群:有python编程基础,对计算机视觉方向有兴趣,且对入门CV比赛有需求的学习者。

时间安排:15天,每天平均花费时间2小时-5小时不等,根据个人学习接受能力强弱有所浮动。

任务简介

  • Task01:赛题理解(2天)
  • Task02:数据读取与数据扩增(3天)
  • Task03:字符识别模型(3天)
  • Task04:模型训练与验证(4天)
  • Task05:模型集成(3天)

详细安排

https://github.com/datawhalechina/team-learning/tree/master/03%20%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%AE%9E%E8%B7%B5%EF%BC%88%E8%A1%97%E6%99%AF%E5%AD%97%E7%AC%A6%E7%BC%96%E7%A0%81%E8%AF%86%E5%88%AB%EF%BC%89


具体规则

  • 注册 CSDN 或 Github 账户。
  • 按照任务安排进行学习,完成后写学习笔记Blog。
  • 在每次任务截止之前在群内填写问卷打卡,遇到问题在群内讨论。
  • 未按时打卡的同学视为自动放弃,被抱出学习群。

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