Drone Tracking Benchmark (DTB70):长期和短期空中目标跟踪数据集 Car Parking Lot Dataset (CARPK):大型的车辆检测和计数数据集 Okutama-Action Dataset:大规模的人体动作检测数据集 UAV Detection and Tracking (UAVDT):是大规模车辆检测跟踪数据集 DAC-SDC VisDrone2018 VisDrone2019 Moving Object Recognition (MOR-...
the lack of a representative dataset, and the low baseline performance of small object detection algorithms have motivated us to create a dataset and explore various algorithms for smallobject detection. The major contributions of this work are: ...
Object detectionUAV detectionUAV image datasetConvolutional neural networkThe unmanned aerial vehicles (UAVs) significantly contribute to the convenience and intelligence of life. However, the large use of UAVs also leads to high security risk. Only detecting the small and flying UAVs can prevent the ...
The well-labeled datasets have proved to be of profound value for the effectiveness and accuracy in various object detection tasks. Thus, the first step of detecting UAVs is to build up a dataset of UAVs. In this study, we collect and release a dataset for UAV detection, called UAVData. ...
object-trackingpid-controlleruav-detectiongimbal-control UpdatedNov 10, 2024 Python Thermal image datasets of UAVs taken from UAV uavdatasetobject-detectionthermal-imagesuav-detection UpdatedJul 25, 2024 Jupyter Notebook Add a description, image, and links to theuav-detectiontopic page so that develop...
Finally, we propose the YOLO-Dense Pest (YOLO-DP) model for high-precision object detection of weed, pest, and disease crop images. We re-evaluate the state-of-the-art detection models with our proposed PDT dataset and CWC dataset, showing the completeness of the dataset and the ...
Numerical experiments conducted on the VisDrone dataset demonstrate the effectiveness of the proposed method, improving detection accuracy and model's robustness and capability in complex environments. 展开 关键词: Wireless communication Accuracy Shape Computational modeling Object detection Autonomous ...
Finally, we give the corresponding confidence to the top-ranked instance, making it possible to become the object again. Experimental results reflect that our mechanism improves 2.7% mAP on the VisDrone2020 dataset, 1.0% mAP on the UAVDT dataset and 1.8% mAP on the MS COCO dataset. We ...
BIRDSAI数据集(https://sites.google.com/view/elizabethbondi/dataset):空中智能监控基准红外数据集(BIRDSAI)是使用固定翼无人机上的红外热像仪在多个非洲保护区收集的具有挑战性的物体检测和跟踪数据集,2020年被哈佛大学指定为公共数据集。该数据集包含48个不同长度的真实航空TIR视频和124个由AirSim-W生成的合成航...
and boost inference speed. On the UAV road patrol image dataset we constructed, our proposed method attains a detection accuracy of 89.9%mAP, breaking previous records. It surpasses all prevailing detection methods, particularly for small-scale objects. Simultaneously, it achieves an inference speed ...