近年来,在一些依赖数据的研究中,数据集扮演了较为重要的角色,一些数据集比如MSCOCO,在促进目标检测和图像捕捉方面很有助力。当涉及到分类问题和场景识别任务时,ImageNet和Places数据集也很好 但是,在航拍目标检测方面,一个像MSCOCO或是ImageNet的数据集,在图像数字和细节的注释上是有缺失的,这也是在Earth Vision上的...
:ALarge-scaleDatasetforObjectDetectioninAerialImages1.4 RSOD RSOD是一个开放的目标检测数据集,用于遥感图像中的目标检测... Remote SensingImages1.3DOTADOTA是用于航空图像中目标检测的大规模数据集。它可以用于开发和评估航空影像中的物体检测。对于DOTA数据集,它包含来自不同传感器和平台的 ...
To advance object detection research in Earth Vision, also known as Earth Observation and Remote Sensing, we introduce a large-scale Dataset for Object deTection in Aerial images (DOTA). To this end, we collect $2806$ aerial images from different sensors and platforms. Each image is of the ...
Kaggle API: kaggle datasets download -d rocky03/aerial-cars-dataset-in-yolo-format 5. 航空图像数据集及模型 DOTA: A Large-scale Dataset for Object Detection in Aerial Images https://captain-whu.github.io/DOTA/dataset.html Trained Models The following are the codes and models for DOTA. Object...
Kaggle API: kaggle datasets download -d rocky03/aerial-cars-dataset-in-yolo-format 5. 航空图像数据集及模型 DOTA: A Large-scale Dataset for Object Detection in Aerial Images https://captain-whu.github.io/DOTA/dataset.html Trained Models ...
【论文笔记】Objects365: A Large-scale, High-quality Dataset for Object Detection(ICCV 2019),程序员大本营,技术文章内容聚合第一站。
Object detectionSimulated datasetComputer visionDeep learningHighlights•Creation of a dataset in Simulink for quadcopter-based flight control.•Detailed description of MATLAB based Simulink block.•A credible simulation model of drones is simulated by enforcing customizations.•A summarized evaluation ...
DOTA is a large-scale dataset for object detection in aerial images. It can be used to develop and evaluate object detectors in aerial images. The images are collected from different sensors and platforms. Each image is of the size in the range from 800
DOTA: a large-scale dataset for object detection in aerial images. Computer science: computer vision and pattern recognition. 2017,. arXiv Google Scholar [23] Zhu H, Chen X, Dai W, et al. Orientation robust object detection in aerial images using deep convolutional neural network. In: ...
Automated object detection in high-resolution aerial imagery can provide valuable information in fields ranging from urban planning and operations to economic research, however, automating the process of analyzing aerial imagery requires training data for machine learning a...