WebAt AIcrowd Research, we explore our scientific curiosities through challenges while engaging a diverse group of researchers. Led by the principles of Open Science and Reproducible Research, we document these creative solutions for real-world problems. AIcrowd’s community-led research lab publishes papers that consistently push the state … WebcrowdAI ( www.crowdAI.org) is a not-for-profit platform for open data challenges. It has two goals: to be the place for solving (big) data problems in open science through open challenges. to be the place for learning about the techniques used to solve these problems. Developed by scientists and engineers at EPFL in Switzerland, crowdAI is open ...
ai challenger 数据集(长期有效) - CSDN博客
WebSep 12, 2024 · Mapping Challenge was an image segmentation challenge, where participants were challenged to “build missing maps with machine learning”. neptune.ml … WebApr 5, 2024 · The CrowdAI Mapping Challenge Dataset is one of these datasets that has been used extensively in recent years to train deep neural networks. This dataset consists of $ \sim\ $280k training images and $ \sim\ $60k testing images, with polygonal building annotations for all images. However, issues such as low-quality and incorrect annotations ... different leave types
Mapping Challenge Kaggle
WebMapping Challenge Segments and maps for identifying objects. Mapping Challenge. Data Card. Code (7) Discussion (0) About Dataset. No description available. Software. Edit Tags. close. search. Apply up to 5 tags to help Kaggle users find your dataset. Software close. Apply. Usability. info. License. Unknown. WebMay 7, 2024 · A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebFeb 1, 2024 · 面包人@PKU. 共包含6大类20个细粒度要素的情感倾向. 数据集 分为训练、验证、测试A与测试B四部分。. 数据集 中的评价对象按照粒度不同划分为两个层次,层次 … formcp32a