下载mirflickr25k.zip 和mirflickr25k_annotations_v080.zip,解压出 mirflickr/ 和mirflickr25k_annotations_v080/。 图像就在 mirflickr/,文件名标了号:im*.jpg。 mirflickr/doc/ 下有common_tags.txt,里面是上述的 1386 个 tags 和其对应的出现频数。 mirflickr/meta/tags/ 是每张图对应的处理过的 tags(...
基于MIRFlickr25000数据集的用户标注的分类尝试 技术标签: AI PaddlePaddle 文本分类基于MIRFlickr25000数据集的用户标注的分类尝试 1 KNN max value 0.482 决策树 max value 0.615 when the step is 302 the accurary is the highest , 0.6153 朴素贝叶斯 max value 0.612...
Index of /mirflickr/mirflickr1m NameLast modifiedSizeDescription Parent Directory - exif.zip 2012-12-06 18:56 801M exif_raw.zip 2012-12-06 19:36 773M
摘要:MIRFLICKR通过雅虎旗下的flickr图片分享平台获取到了1百万张图片,并对这些图片打上标签和分类,用于图像相似性特征描述和分类研究,以优化图片分类检索程序,最后把这批数据集(原图片、元数据、标签注释和软件)共享出来,希望给更多的图片技术研究者使用。
We present the implementation of the interactive paper/digital pen interface on top of QbS, our system for CBIR using sketches, and we present in detail the evaluation of the system on the basis of the MIRFLICKR-25000 image ... R Kreuzer,M Springmann,IA Kabary,... - European Conference ...
The core idea is to identify how similar the perception of a 'good image' and 'bad image' is by machines versus humans (through a user study based on 255 participants on 5000 images from the standard MIRFLICKR database [9]). We have considered the compositional norm, namely 'rule of ...
Thomee et al., 2013] Thomee, B., Huiskes, M., and S. Lew, M. (2013). Spe- cial issue on visual concept detection in the mirflickr/imageclef benchmark. Computer Vision and Image Understanding, 117:451-452.Special issue on visual concept detection in the MIRFLICKR/ImageCLEF benchmark[...
Performance of each visual features on MirFlickr affect sets.Ningning, LiuKai, WangXin, JinBoyang, GaoEmmanuel, DellandréaLiming, Chen
包括Flickr 25K和Flickr 1M,可以下载。 官网地址:http://press.liacs.nl/mirflickr/mirdownload.html 下载地址:http://press.liacs.nl/mirflickr/mirflickr1m/ MIRFLICKR Download To download, please save the links below. This server supports resumes on downloads. ...
2. Citeseer和Flickr数据集上,MIRand算法性能比baseline好很多,并且随着训练集的size越来越小,与baseline的margin就越大。 ③节点聚类(社区检测) 采用KMeans++算法来聚类node embedding,并采用无监督的准确率(unsupervised accuracy)进行度量,unsupervised accuracy是度量与有label的ground truth进行对比的无监督聚类质量。