P. Dollar, and C. L. Zitnick, “Microsoft COCO: Common objects ´ in context,” inECCV, 2014. [20] D. Scharstein and R. Szeliski, “A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,”IJCV, vol. 47, no. 1-3, pp. 7–42, 2002. [21] S. Baker, D....
MS COCO 数据集学习笔记(Common Objects in COntext) 一、数据来源 COCO中图片资源均引用自Flickr图片网站 二、数据集创建目的 进行图像识别训练,主要针对以下三个方向: (1)object instances (2)object keypoints (3) image captions 每个方向均包含训练和验证集两个标注文件 三、标注体结构 三个方向均共享基本类型...
common objects in their natural context. Objects are labeled using per-instance segmentations to aid in precise object localization. Our dataset contains photos of 91 objects types that would be easily recognizable by a 4 year old. With a total of 2.5 million labeled instances in 328k images,...
确定类别 PASCAL VOC+a subset of the 1200 most frequently used words that denote visually identifiable objects 让4到8岁的小孩说出他们在室内外看到的物体 合著者投票5级制投票,考虑是否常用、现实应用价值、与其它类别的差异程度 根据投票结果选择,同时保证每个类别实例数量均匀且充足。为保证向后兼容,VOC的所有...
Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollar, Larry Zitnick ECCV|September 2014 Published by European Conference on Computer Vision Publication
COCO数据集:本数据集包含了91种物体类型的图像,这些物体类型能够被4岁大小的孩子豪不费力的识别出来。数据集有32.8万张图片,包含有250万个标注实例。 标注工具:Microsoft自研 类别确定 使用多个数据源来建立顶层物体类别: 1、首先联系PASCAL VOC数据集的类别, 2、1200种最经常见到的视觉可分辨的物体的一个子集(来自...
Microsoft COCO: Common Objects in Context Tsung-Yi Lin,Michael Maire,Serge Belongie,Lubomir Bourdev,Ross Girshick,James Hays,Pietro Perona,Deva Ramanan,C. Lawrence Zitnick,Piotr Dollár Full-Text Cite this paper Add to My Lib Abstract: We present a new dataset with the goal of advancing th...
Microsoft COCO: Common Objects in Context Tsung-Yi Lin Michael Maire Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick Piotr Doll ´ ar Abstract—We present a new dataset with the goal of advancing the state-of-the-art in object recognition...
The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images. Figure1 example photo from COCO 2.Description The first version of MS COCO dataset was released in 2014....
Code and Dataset for FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context. - pinakinathc/fscoco