Dataset之COCO数据集:COCO数据集的简介、下载、使用方法之详细攻略 MS COCO的全称是Microsoft Common Objects in Context,起源于微软于2014年出资标注的Microsoft COCO数据集,与ImageNet竞赛一样,被视为是计算机视觉领域最受关注和最权威的比赛之一。 COCO数据集是一个大型的、丰富的物体检测,分割和字幕数据集。这个数据...
http://images.cocodataset.org/zips/val2017.zip http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip http://images.cocodataset.org/zips/test2017.zip http://images.cocodataset.org/annotations/image_info_test2017.zip train2017 train2017:http://images.cocodataset.org/zips/tr...
To use this dataset you will need to download the images (18+1 GB!) and annotations of the trainval sets. To download earlier versions of this dataset, please visit theCOCO 2017 Stuff Segmentation ChallengeorCOCO-Stuff 10K. Caffe-compatible stuff-thing mapsWe suggest using the stuffthingmaps...
To use this dataset you will need to download the images (18+1 GB!) and annotations of the trainval sets. To download earlier versions of this dataset, please visit theCOCO 2017 Stuff Segmentation ChallengeorCOCO-Stuff 10K. Caffe-compatible stuff-thing mapsWe suggest using the stuffthingmaps...
COCO-Stuff dataset 介绍 COCO-Stuff数据集对COCO数据集中全部164K图片做了像素级的标注。 80 thing classes, 91 stuff classes and 1 class 'unlabeled' 下载 也可用一下方法下载数据集并设置正确的文件结构。 #Getthis repo git clone https://github.com/nightrome/cocostuff.git...
总大小: 14GB 图像数量: 25,000余张 类别数量: fire(火焰) smoke(烟雾) 任务类型: 目标检测 拍摄视角: 无人机视角 标注格式: COCO、YOLO、VOC 用途: 用于烟火检测,特别是在应急救援场景中快速识别火灾和烟雾。 类别划分 fire (火焰): 检测图像中的火焰目标。
安装时,可能报错:无效的数值参数“/Wno-cpp”,如下图所示:解决办法: 编辑setup.py,删除对应的参数,重新执行安装命令:python setup.py...安装cocoapi的前提条件:安装Microsoft Visual C++cocoapi下载地址:https://github.com/cocodataset/cocoapi下载后解压缩,进入 ...
unzip downloads/cocostuff-10k-v1.1.zip -d dataset/ MAT格式 COCO-Stuff的标注是储存在每张图对应的.mat文件中,这些文件的格式和Tighe等人使用的格式相同。每个文件包括以下字段: S: 像素化的标签地图的尺寸names:COCO-Stuff中的东西的名字和类别,更多详情请看Label Names & Indicescaptions:图片标题,由5个不同...
Alpha Pose is an accurate multi-person pose estimator, which is the first open-source system that achieves 70+ mAP (72.3 mAP) on COCO dataset and 80+ mAP (82.1 mAP) on MPII dataset. To match poses that correspond to the same person across frames, we also provide an efficient online pos...
code-experiments/rw-problems contains the socket communication servers, the two toy socket suites and other real-world suites (downloaded when first used), see Socket communication readme and GBEA suites readme for more information code-experiments/tools are a few meta-tools, mainly the amalgamate...