Dataset for the meta-heuristics scheduling algorithm

The generated dataset consists of 23 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20--50 frames, and has ground-truth depth values in the central view, so that can be used for training deep learning-based methods. Each scene was rendered with a ``clean'' pass after modifying the production file of ``Sintel'' with reference to the MPI Sintel dataset ~\cite{butler2012naturalistic}.

This dataset is composed of side channel information (e.g., temperatures, voltages, utilization rates) from computing systems executing benign and malicious code.  The intent of the dataset is to allow aritificial intelligence tools to be applied to malware detection using side channel information.

Retinal Fundus Multi-disease Image Dataset (RFMiD) consisting of a wide variety of pathological conditions. 

This dataset contains 1944 data, which are scanned by the HIS-RING PACT system.

the data sampling rate of our system is 40 MSa/s, a 128-elements 2.5MHz full-view ring-shaped transducer with 30mm radius. 

 continuous updating.....

本研究中使用的柑橘叶数据集来自 PlantVillage [24]，用于以下方面的开放访问公共资源： 与农业有关的内容。数据集包括三种类型柑桔叶片：柑桔健康，柑桔HLB（黄龙病） 一般，柑橘HLB严重。原始数据集包含4577张柑橘叶片图像，分为三部分 分类

Computer vision in animal monitoring has become a research application in stable or confined conditions.

Detecting animals from the top view is challenging due to barn conditions.

In this dataset called ICV-TxLamb, images are proposed for the monitoring of lamb inside a barn.

This set of data is made up of two categories, the first is lamb (classifies the only lamb), the second consists of four states of the posture of lambs, these are: eating, sleeping, lying down, and normal (standing or without activity ).

AI Ethics Global Document Collection

Daniel Schiff, Jason Borenstein, Justin Biddle, & Kelly Laas

Documents in the dataset were published between January 2016 through July 2019

This dataset is associated with a (forthcoming) paper in IEEE Transactions on Technology and Society, entitled "AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection.