Drone-detection-dataset是一个包含红外、可见光和音频数据的数据集,旨在用于训练无人机检测系统。该数据集涵盖了不同环境下的无人机活动,例如城市、森林和农田等场景。其中,红外数据能够反映出无人机发射的热量,可见光数据能够提供无人机的图像信息,音频数据则能够捕捉到无人机发出的噪声信号。通过综合利用这三种数据...
Drone-detection-datasetDataset containing IR, visible and audio data that can be used to train and evaluate drone detection sensors and systems.Video labels: Airplane, Bird, Drone and Helicopter. Audio labels: Drone, Helicopter and Background....
Most studies on drone detection fail to specify the type of acquisition device, the drone type, the detection range, or the dataset. The lack of proper UAV detection studies employing thermal infrared cameras is also an issue, despite its success with other targets. Besides, we have not found...
DroneRF dataset: a dataset of drones for RF-based detection, classification, and identification Mendeley Data, v1 (2019) https://doi.org/10.17632/f4c2b4n755.1 Google Scholar [3] Instruments, LabVIEW Communications System Design Suite, Online (2018) URL https://www.ni.com/en-lb/shop/select...
Scripts to load and inspect the drone detection benchmark dataset Dataset The dataset is available at kaggle. Download the dataset and place it in a subfolder dataset/. It comes in the form of 3 files: class_stats.csv: contains the number of samples per class SNR_stats.csv: contains the...
This code is for the paper: Wildland Fire Detection and Monitoring using a Drone-collected RGB/IR Image Dataset (https://ieeexplore.ieee.org/document/9953997) Please download the code from GitHub!!! Some paths in the code may be slightly changed. GitHub address: https://github.com/XiwenChe...
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networksdoi:10.3390/S21154953Sara Al-EmadiAbdulla K. Al-AliAbdulaziz Al-AliMultidisciplinary Digital Publishing Institute
The dataset, captured via drone, comprises 1268 images categorized into oil, water, and other, with a convolutional neural network trained using an Unet model architecture achieving an F1 score of 0.71 for oil detection. This underscores the dataset's practicality for real-world applications, ...
2D Target/Anomaly Detection in Time Series Drone Images Using Deep Few-Shot Learning in Small Training Datasetdoi:10.1007/978-3-030-99079-4_10Optimization problem is an important challenge in two-dimensional (2D) target/anomaly detection as a real-world application. As manual time series drone ...
To improve the detection accuracy of the drone-based oriented vehicle object detection network and establish high-accuracy vehicle trajectory datasets, we present a freeway on-ramp vehicle (FRVehicle) detection dataset with oriented bounding box annotations for vehicles in freeway on-ramp scenes from...