infinite-dataset-hub/DronePathTracker

---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# DronePathTracker

tags: Navigation, Path, Anomaly Detection

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'DronePathTracker' dataset is designed to assist machine learning practitioners in developing models for drone navigation and anomaly detection. Each row represents a segment of a drone's flight path, including coordinates, timestamps, and metadata. The dataset is useful for training models that can predict drone trajectories, identify deviations from the planned path, and understand the factors contributing to these anomalies. The dataset includes labeled segments that describe the state of the drone at different points in time, with labels categorizing the trajectory as 'Normal', 'Anomaly', or 'Unlabelled' due to insufficient data.

**CSV Content Preview:**

```csv
timestamp,latitude,longitude,altitude,label
2023-01-01T12:00:00Z,34.0522,-118.2437,100m,Normal
2023-01-01T12:00:10Z,34.0523,-118.2436,102m,Normal
2023-01-01T12:00:20Z,34.0525,-118.2435,101m,Normal
2023-01-01T12:00:30Z,34.0530,-118.2430,105m,Anomaly
2023-01-01T12:00:40Z,34.0540,-118.2420,110m,Anomaly
2023-01-01T12:00:50Z,34.0550,-118.2410,108m,Unlabelled
```

The first three rows show a typical normal drone flight path, while the last two indicate a potential anomaly in the trajectory. The final row could not be labeled due to insufficient data for confirmation.

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=DronePathTracker&tags=Navigation,+Path,+Anomaly+Detection
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub

许可证：MIT协议
标签：
- infinite-dataset-hub
- 合成数据集

# 无人机路径追踪数据集（DronePathTracker）

标签：导航、路径、异常检测

*注意：本数据集由人工智能生成，其内容可能存在不准确或虚假之处*

**数据集说明：**

「无人机路径追踪数据集（DronePathTracker）」旨在助力机器学习从业者开发面向无人机导航与异常检测的模型。每一行对应一段无人机飞行路径片段，包含坐标、时间戳与元数据。本数据集可用于训练能够预测无人机飞行轨迹、识别偏离规划路径的情况，并解析此类异常产生诱因的模型。数据集包含标注的飞行片段，用于描述无人机在不同时间点的状态，标签将轨迹划分为「正常(Normal)」、「异常(Anomaly)」，或因数据不足标注为「未标注(Unlabelled)」。

**CSV内容预览：**

csv
timestamp,latitude,longitude,altitude,label
2023-01-01T12:00:00Z,34.0522,-118.2437,100m,Normal
2023-01-01T12:00:10Z,34.0523,-118.2436,102m,Normal
2023-01-01T12:00:20Z,34.0525,-118.2435,101m,Normal
2023-01-01T12:00:30Z,34.0530,-118.2430,105m,Anomaly
2023-01-01T12:00:40Z,34.0540,-118.2420,110m,Anomaly
2023-01-01T12:00:50Z,34.0550,-118.2410,108m,Unlabelled

前三行展示了典型的正常无人机飞行路径，后两行则代表轨迹中存在潜在异常。最后一行因缺乏可用于确认的有效数据，无法完成标注。

**数据来源：**

本数据集通过[无限数据集中心(Infinite Dataset Hub)](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub)与microsoft/Phi-3-mini-4k-instruct模型生成，所用查询语句为空：
- **数据集生成页面**：https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=DronePathTracker&tags=Navigation,+Path,+Anomaly+Detection
- **所用模型**：https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **更多数据集**：https://huggingface.co/datasets?other=infinite-dataset-hub