Google Landmark train data

kaggle2020-07-03 更新2024-03-11 收录

地标识别

机器学习

数据链接：

https://www.kaggle.com/datasets/subbhashit/google-landmark-train-data 数据链接链接失效反馈

官方服务：

资源简介：

A dataset made out of google landmark challenge 2020

本数据集基于谷歌地标识别挑战赛2020（Google Landmark Challenge 2020）构建

创建时间：

2020-07-03

Spatial database of planted forests in East Asia using machine learning (final products)

人工林

机器学习

The shapefile depicts the distribution of planted forests in East Asia (China, Japan, ROK, and DPRK) and associated dominant tree species to the genus level. The dataset is in a shapefile where each p

DataCite Commons2023-06-12 更新290

PredictionGLMGlobal.xlsx

机器学习

生物信息学

Results of prediction of phenotypic traits using GLMNET with the full normalized dataset. It includes R² values for training and test sets when regression was performed, and accuracy for classificatio

DataCite Commons2025-04-29 更新80

autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064212

机器学习

偏见检测

--- type: predictions tags: - autotrain - evaluation datasets: - mathemakitten/winobias_antistereotype_test_cot eval_info: task: text_zero_shot_classification model: facebook/opt-30b metrics: []

Hugging Face2022-10-25 更新50

Supporting information for "Detachment of the Subducting Slab in Ancient Subduction Zones Discerned Using Machine Learning"

地质学

机器学习

Supporting information for " Detachment of the Subducting Slab in Ancient Subduction Zones Discerned Using Machine Learning "

DataCite Commons2024-11-05 更新90

Additional file 4 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier

蛋白质修饰预测

机器学习

Additional file 4: Table S4. The performance of different classifiers on the independent test data.

DataCite Commons2024-08-16 更新50