75 datasets found

The CTU-13 dataset is a network capture dataset containing 13 malware traffic captures, consisting of both benign and malware traffic.

Face image synthesis detection is considerably gaining attention because of the potential negative impact on society that this type of synthetic data brings. In this paper, we...

Anomaly detection in images using multivariate Gaussian and whitening transformation

Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection

The Thyroid dataset is a collection of 3772 instances, each described by 14 features.

The Arrhythmia dataset is a collection of 452 electrocardiogram (ECG) records, each containing 10 minutes of ECG data. The dataset is used for classification tasks, such as...

The proposed method uses Weighted Boxes Fusion (WBF) algorithm to obtain the aggregated annotations with the implicit annotators' agreement as confidence scores. The estimated...

The TFDS-RP dataset is a real-time unsupervised anomaly detection dataset with localization, focusing on freight train monitoring applications.

The dataset used in this paper is a real-world arrhythmia dataset for evaluating the resilience of linear classification algorithms under training data attacks.

The Subway Exit dataset contains video clips of people leaving a train station.

The Subway Entrance dataset contains video clips of people waiting to board a train.

The UCSD Pedestrian 2 dataset contains video clips of two different walkways.

The UCSD Pedestrian 1 dataset contains video clips of two different walkways.

The dataset used in this paper is a collection of performance metrics for virtual machines in a microservices-based system.

eBay product health metrics for different domain teams to monitor

The IoT testbed dataset contains data from various IoT devices under different attack conditions.

Robust anomaly detection for multivariate time series through stochastic recurrent neural network.

Image reconstruction-based anomaly detection models are widely explored in industrial visual inspection. However, existing models usually suffer from the trade-off between...

Remote Patient Monitoring (RPM) dataset, containing data from smart health devices and home sensors.

Geospatial datasets are diverse, naturally spatiotemporal, and inherently multimodal (composed of two or more distinct signal types or modalities) e.g., satellite/aerial imagery...