[CV] What is Data-Centric approach by LandingAI

大概就是这个意思:

Using image search technology we can find the defect that was missed automatically and find the related similar training images in our training data set that was used to train the model. Once we found those images we can inspect our labels to make sure that they're labeled appropriately. After making changes to the dataset we can retrain our model and observe whether the model is now able to identify this type of defect.
A capability like this requires not just model training and inference but also the ability to search back into a large
unlabeled potentially unlabeled dataset to make the cycle as efficient as possible. Training, inference, search and front-end steps should be as fast as possible. Today there's a long way to go and they're not nearly interactive.

posted @   郝壹贰叁  阅读(40)  评论(0编辑  收藏  举报
相关博文:
阅读排行:
· 震惊!C++程序真的从main开始吗?99%的程序员都答错了
· 【硬核科普】Trae如何「偷看」你的代码?零基础破解AI编程运行原理
· 单元测试从入门到精通
· 上周热点回顾(3.3-3.9)
· winform 绘制太阳,地球,月球 运作规律
点击右上角即可分享
微信分享提示