SIDD-small，全称 Smartphone Image Denoising Dataset一个小型版本的图像降噪数据集，它由代表 160 个场景实例的160 个图像对（噪声和ground-truth）组成。该数据集被用于来评估一些降噪算法。

Papers

Abdelrahman Abdelhamed, Lin S., Brown M. S. "A High-Quality Denoising Dataset for Smartphone Cameras", IEEE Computer Vision and Pattern Recognition (CVPR), June 2018.

[PDF]   [Bibtex]

Abdelrahman Abdelhamed, Timofte R., Brown M. S., et al. "NTIRE 2019 Challenge on Real Image Denoising: Methods and Results", IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019.

[PDF]   [Bibtex]

Code

Ground-truth image estimation

A simple camera pipeline for rendering raw-RGB images into sRGB.

Papers With Code highlights trending Machine Learning research and the code to implement it.

Papers With Code highlights trending Machine Learning research and the code to implement it.

GitHub is where over 94 million developers shape the future of software, together. Contribute to the open source community, manage your Git repositories, review code like a pro, track bugs and features, power your CI/CD and DevOps workflows, and secure code before you commit it.

SIDD is an image denoising dataset containing 30,000 noisy images from 10 scenes under different lighting conditions using five representative smartphone cameras. Ground truth images are provided along with the noisy images.

SIDD is an image denoising dataset containing 30,000 noisy images from 10 scenes under different lighting conditions using five representative smartphone cameras. Ground truth images are provided along with the noisy images.

智能手机图像去噪数据集（SIDD）使用5个具有代表性的智能手机摄像头，从10个场景中提取约30000个噪声图像，并生成它们真实的场景图像。

Introduction目前效果出色的深度去噪方法大都采用监督学习的方法，需要采集输入-输出图像对（noisy/noise-free images pairs）建立训练数据集。数据集的建立是关键的任务。数据集的质量将直接决定去噪结果的质量。如何获取尽量多场景的图像数据，如何获得高质量的参考图像（ground truth），是目前研究的热点。The State of ArtsMe...

关键点检测手部姿势关键点检测数据集数据集下载链接： ZV数据集由序列构成。在每个序列中，您都可以找到组成它的帧。一个帧由4个彩色图像、4组投影在每个图像平面中的2D关节、4个边界框、1组Lea…