无人机视觉定位是怎么回事_drone无人机怎么下APP

无人机视觉定位是怎么回事_drone无人机怎么下APPhttp://www.aiskyeye.com/2018年已经办过一年了。2019年在ICCV上办。Weencouragetheparticipantstousetheprovidedtrainingdataforeachtask,butalsoallowthemtouseadditionaltrainingdata.Theuseofadd…

大家好,又见面了,我是你们的朋友全栈君。如果您正在找激活码,请点击查看最新教程,关注关注公众号 “全栈程序员社区” 获取激活教程,可能之前旧版本教程已经失效.最新Idea2022.1教程亲测有效,一键激活。

Jetbrains全系列IDE使用 1年只要46元 售后保障 童叟无欺

http://www.aiskyeye.com/

2018年已经办过一年了。2019年在ICCV上办。

We encourage the participants to use the provided training data for each task, but also allow them to use additional training data. The use of additional training data must be indicated in the “method description” when uploading results to the server.

We emphasize that any form of annotation or use of the VisDrone testing sets for either supervised or unsupervised training is strictly forbidden. The participants are required to explicitly specify any an all external data used for training in the “method description” in submission. In addition, the participants are NOT allowed to train a model in one task using the training or validation sets in other tasks.

we have divided the test set into two splits, including test-challenge and test-dev. Test-dev一天交3次,test-challenge一共交3次。

不明白为什么download里test-dev是不能下载的。。。

 

Vision Meets Drones: A Challenge

Abstract

our benchmark has more than 2:5 million annotated instances in 179; 264 images/video frames.

Introduction

现状:缺少大的数据集。

Altogether we carefully annotated more than 2:5 million bounding boxes of object instances from these categories. Moreover, some important attributes including visibility of scenes, object category and occlusion, are provided for better data usage.

无人机视觉定位是怎么回事_drone无人机怎么下APP

感觉还是挺大的,也没什么别的数据集可以利用了。

3.2 Task 1: Object Detection in Images

The VisDrone2018 provides a dataset of 10; 209 images for this task, with 6; 471 images used for training, 548 for validation and 3; 190 for testing.

For truncation ratio, it is used to indicate the degree of object parts appears outside a frame. If an object is not fully captured within a frame, we annotate the bounding box across the frame boundary and estimate the truncation ratio based on the region outside the image. It is worth mentioning that a target is skipped during evaluation if its truncation ratio is larger than 50%.

无人机视觉定位是怎么回事_drone无人机怎么下APP
task1 遮挡情况

Three degrees of occlusions: no occlusion (occlusion ratio 0%), partial occlusion (occlusion ratio 1% 50%), and heavy occlusion (occlusion ratio > 50%).

2018task1winner

选择retina net,移除后面两层,只用P3,4,5

无人机视觉定位是怎么回事_drone无人机怎么下APP
数据分布

无人机视觉定位是怎么回事_drone无人机怎么下APP

无人机视觉定位是怎么回事_drone无人机怎么下APP

 

无人机视觉定位是怎么回事_drone无人机怎么下APP

无人机视觉定位是怎么回事_drone无人机怎么下APP

无人机视觉定位是怎么回事_drone无人机怎么下APP

无人机视觉定位是怎么回事_drone无人机怎么下APP

Cascade R-CNN: Delving into High Quality Object Detection

Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection

数据观察

task1

bbox观察

无人机视觉定位是怎么回事_drone无人机怎么下APP
数据分布
bbox尺度分布
  <p2 p2 p3 p4 p5 p6 >p6
train 48.3% 30.6% 16.2% 4.4% 0.5% 0.01% 0%
val 55.3% 30.8% 11.4% 2.4% 0.1% 0.007% 0%
train_val 49.0% 30.6% 15.7% 4.1% 0.5% 0.01% 0%

 

bbox尺度*1.5分布
  <p2 p2 p3 p4 p5 p6 >p6
train 28.2% 34.6% 24.5% 10.5% 2.0% 0.1% 0.002%
val 33.0% 37.6% 21.8% 6.9% 0.7% 0.03% 0.005%
train_val 28.7% 34.9% 24.2% 10.2% 1.9% 0.1% 0.002%
bbox尺度*3分布
  <p2 p2 p3 p4 p5 p6 >p6
train 6.2% 22.0% 34.6% 24.5% 10.6% 2.0% 0.1%
val 7.1% 26.0% 37.6% 21.8% 6.9% 0.7% 0.03%
train_val 6.3% 22.4% 34.9% 24.2% 10.2% 1.9% 0.1%

类别分布

类别数量分布
  0 ignored 1 pedestrain 2 people 3 bicycle 4 car 5 van 6 truck 7 tricycly 8 awning-tricycle 9 bus 10 motor 11 others
train 2.49% 22.44% 7.65% 2.96% 40.97% 7.06% 3.64% 1.36% 0.92% 1.68% 8.39% 0.43%
val 3.43% 22.02% 12.76% 3.24% 35.01% 4.92% 1.87% 2.60% 1.32% 0.62% 12.16% 0.08%
trian_val 2.59% 22.40% 8.17% 2.99% 40.37% 6.84% 3.46% 1.49% 0.96% 1.57% 8.77% 0.40%

 

类别面积分布
  0 ignored 1 pedestrain 2 people 3 bicycle 4 car 5 van 6 truck 7 tricycly 8 awning-tricycle 9 bus 10 motor 11 others
train 3.89% 6.42% 1.82% 1.45% 54.11% 11.66% 9.46% 1.39% 1.07% 4.69% 3.35% 0.69%
val 8.23% 7.44% 3.67% 1.42% 54.88% 7.68% 5.80% 2.38% 1.29% 1.82% 5.23% 0.15%
trian_val 4.18% 6.49% 1.94% 1.45% 54.16% 11.39% 9.22% 1.46% 1.09% 4.50% 3.47% 0.65%

图片尺寸分布

  480×360 960×540 1344×756 1360×765 1389×1042 1398×1048 1400×788 1400×1050 1916×1078 1920×1080 2000×1500 all
train 1 250 1 743 1 30 1299 2498 537 339 772 6462
val 0 121

0

408 0 0 0 0 0 19 0 548
test 0 64 0 150 0 0 712 491 127 36 0 1580

train 平均图像大小:1575738.0529247911

 

b0说task2里同一个物体的类别会变。

Pyramid Scene Parsing Network

版权声明:本文内容由互联网用户自发贡献,该文观点仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 举报,一经查实,本站将立刻删除。

发布者:全栈程序员-用户IM,转载请注明出处:https://javaforall.cn/170573.html原文链接:https://javaforall.cn

【正版授权,激活自己账号】: Jetbrains全家桶Ide使用,1年售后保障,每天仅需1毛

【官方授权 正版激活】: 官方授权 正版激活 支持Jetbrains家族下所有IDE 使用个人JB账号...

(0)


相关推荐

  • Drupal教程之安装篇

    Drupal教程之安装篇星期一,01/12/2009—似曾相识文章地址:[url]http://www.drupaluser.org/node/3[/url]象许多CMS一样,Drupal也是需要安装,其主要步骤如下(以[url]http://drupaluser.org/[/url]为例):1.在[url]http://drupaluser.org/[/u…

  • Android项目实战_手机安全卫士splash界面

    Android项目实战_手机安全卫士splash界面

  • webstom 激活码2022【2022.01最新】2022.03.05

    (webstom 激活码2022)好多小伙伴总是说激活码老是失效,太麻烦,关注/收藏全栈君太难教程,2021永久激活的方法等着你。IntelliJ2021最新激活注册码,破解教程可免费永久激活,亲测有效,下面是详细链接哦~https://javaforall.cn/100143.html40ZKSWCX8G-eyJsaWNlbnNlSWQi…

  • 详解 YOLO3

    详解 YOLO3YOLOv3没有太多的创新,主要是借鉴一些好的方案融合到YOLO里面。不过效果还是不错的,在保持速度优势的前提下,提升了预测精度,尤其是加强了对小物体的识别能力。本文主要讲v3的改进,由于是以v1和v2为基础,关于YOLO1和YOLO2的部分析请移步YOLOv1深入理解和YOLOv2/YOLO9000深入理解。YOLO3主要的改进有:调整了网络结构;利用多尺度特征进行对象检测;对象…

  • 硕士论文计算机要求,计算机硕士论文格式要求

    硕士论文计算机要求,计算机硕士论文格式要求

    2021年11月27日
  • jsoncpp官方教程_jsoncpp用法

    jsoncpp官方教程_jsoncpp用法本文主要介绍使用JsonCpp库,通过C++编程语言实现JSON文件读写操作的具体方法。1写入JSON文件这里编写一个示例程序,该程序将JSON字符串写入到JSON文件中。示例代码(json_file_oper_write.cpp)的内容如下:#include<jsoncpp/json/json.h>#include<fstream>usingnamespacestd;intmain(){Json::Value

    2022年10月10日

发表回复

您的电子邮箱地址不会被公开。

关注全栈程序员社区公众号