相关数据集
室外场景下深度数据质量提升模型
室外场景下深度数据质量提升模型数据主要面向激光雷达稀疏深度图像补全的探究，基于贝叶斯模型的不确定度估计损失函数引导的实验，记录在实验过程中面向验证集数据所产生的中间结果（多阶段深度补全结果、不确定度估计结果、补全残差数据）以及实验工具（参数模型、实验代码），数据量1.15GB。
国家基础学科公共科学数据中心410
Dataset from paper "Canopy palm cover across the Brazilian Amazon forests mapped with airborne LiDAR data and deep learning"
Data and code from the paper: Dalagnol, R., Wagner, F. H., Emilio, T., Streher, A. S., Galvão, L. S., Ometto, J. P. H. B., & Aragão, L. E. O. C. (2022). Canopy palm cover across the Brazilian Amazon f
Mendeley Data2024-05-10 更新100
dataset_ccb_rr.zip
The dataset used for CCB_RR training deep learning model and it contains 4 projects such as openstack, libreoffice, android and qt.
DataCite Commons2022-10-31 更新80
idning/ffhq256-caption
--- license: mit dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 7388635414.0 num_examples: 70000 download_si
Hugging Face2023-11-21 更新120
Geotagging AI
[Geotagging API](https://geotagging.ai/) provides a simple interface to text-based geolocation. The API takes texts on the input, processes them with the latest Deep Learning geolocation models and re
RapidAPI2023-11-07 更新90
