all AI news
[P] We cleaned up Pascal and improved mAP by 13%
April 26, 2022, 11:05 a.m. | /u/treebeard_hasty_ai
Machine Learning www.reddit.com
According to our experiments - very important. Using state-of-the-art confidence learning to clean up PASCAL, two people improved our primary model metric by 13% in a week.
To learn more about our results and what we did check out our article: [https://hasty.ai/content-hub/articles/cleaning-pascal-improving-map-by-13?utm\_source=mk832ksa](https://hasty.ai/content-hub/articles/cleaning-pascal-improving-map-by-13?utm_source=mk832ksa)
[Disclaimer: We used our own platform to clean up the data and the article, therefore, contains self-promotion. However, the article mainly focuses on the results we achieved.](https://preview.redd.it/x94t1wr4vuv81.png?width=1128&format=png&auto=webp&s=be98c79c65c90f7e8e637cd67c351e1b54c4036b)
More from www.reddit.com / Machine Learning
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Senior Applied Data Scientist
@ dunnhumby | London
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV