CycleGAN

kaggle2019-05-30 更新2024-03-11 收录

图像转换

深度学习

数据链接：

https://www.kaggle.com/datasets/suyashdamle/cyclegan 数据链接链接失效反馈

官方服务：

资源简介：

An unpaired-images dataset for training CycleGANs - horse-zebra, map-image, etc.

一款用于训练循环生成对抗网络（CycleGAN）的非配对图像数据集，涵盖马-斑马、地图图像等典型数据集。

创建时间：

2019-05-30

Deep learning downscaled CMIP6 high-resolution (0.1°) daily near surface meteorological datasets over East Asia (ensemble mean)

气候研究

深度学习

Downscaling is a method to obtain high-resolution meteorological data. UNet, a great potential deep learning technology, is gaining popularity in downscaling. Based on 19 models from the Coupled Model

DataCite Commons2025-04-27 更新610

CNN for Melanoma Detection Data

皮肤癌检测

深度学习

This dataset is from Kaggle: https://www.kaggle.com/datasets/hasnainjaved/melanoma-skin-cancer-dataset-of-10000-images The original article that published this dataset is described below. M. H. Jav

DataCite Commons2025-05-01 更新140

[3rd ML Month] EfficientNet Weights

深度学习

竞赛

3차 캐글코리아 대회에 사용한 EfficientNet Weight저장 파일셋입니다.

kaggle2019-08-17 更新100

Table_1_Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion.XLSX

二维材料

深度学习

Protective coatings based on two dimensional materials such as graphene have gained traction for diverse applications. Their impermeability, inertness, excellent bonding with metals, and amenability t

frontiersin.figshare.com2023-06-21 更新190

地面工程阶段识别模型数据

施工进度识别

深度学习

基于深度学习的施工进度识别技术，通过高度智能化的数据处理与分析，得到地面工程施工阶段识别模型数据集合，为建筑行业带来了革命性的管理变革，增强了施工过程的透明度与可控性，显著提升了项目的安全性、效率和经济效益。1.数据采集：采集海量不同施工阶段的多样化现场场景数据，为模型训练提供了丰富的真实数据基础。 2.数据处理：（1）数据预处理：首先对基于多任务联合优化的工程进度识别模型训练进行预处理，然后进

浙江省数据知识产权登记平台2024-09-19 更新130

CycleGAN

资源简介：

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