network-dataset
ncbi-dataset-for-genome-network-pretrainingROVR-Open-Dataset
ROVR Open Dataset
Introduction
Welcome to the ROVR Open Dataset repository! This dataset is designed to empower autonomous driving and robotics research by providing rich, real-world data captured from ADAS cameras and LiDAR sensors. The dataset spans 50+ countries with over 20 million kilometers of driving data, making it ideal for training and developing advanced AI algorithms for depth estimation, object detection, and semantic segmentation.… See the full description on the dataset page: https://huggingface.co/datasets/ROVR-Network/ROVR-Open-Dataset.NADW-network-attacks-dataset
Network Traffic Dataset for Anomaly Detection
Overview
This project presents a comprehensive network traffic dataset used for training AI models for anomaly detection in cybersecurity. The dataset was collected using Wireshark and includes both normal network traffic and various types of simulated network attacks. These attacks cover a wide range of common cybersecurity threats, providing an ideal resource for training systems to detect and respond to real-time network… See the full description on the dataset page: https://huggingface.co/datasets/onurkya7/NADW-network-attacks-dataset.tokenized-network-intrusion-datasetnetwork-intrusion-datasetnatix-multi-camera-driving-dataset
NATIX Multi-Camera Driving Dataset
Summary
The NATIX Multi-Camera Driving Dataset is a real-world driving dataset. Unlike fleet-collected datasets that rely on trained safety drivers operating standardized vehicles, NATIX sources its data from a decentralized vehicle network consisting of everyday, non-expert drivers, resulting in more natural driving behavior and a broader distribution across real-world scenarios.
NATIX plans to release 2,000+ hours of data as… See the full description on the dataset page: https://huggingface.co/datasets/natix-network-org/natix-multi-camera-driving-dataset.