《DOTA:A Large-scale Dataset for Object Detection in Aerial Images》阅读翻译 云依斐 少与人纠缠,多爱大自然19 人赞同了该文章 简介 武大遥感国重实验室-夏桂松和华科电信学院-白翔等合作做的一个航拍图像数据集 摘要 目标检测是计算机视觉领域一个重要且有挑战性的问题。虽然过去的十几年中目标检测在自然场景...
DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻译,程序员大本营,技术文章内容聚合第一站。
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 ...
卫星图像中的车辆分析--A Large Contextual Dataset for Classification, Detection and Counting of Cars,程序员大本营,技术文章内容聚合第一站。
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 ...
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: 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: ...
【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。
DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻译 DOTA:用于航空图像中目标检测的大规模数据集 原文:https://arxiv.org/pdf/1711.10398.pdf 官网:https://captain-whu.github.io/DOTA/ dataset:https://captain-whu.github.io/DOTA/dataset.html Abstract 对象检测是计算机视觉中一个...
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