annotation-Object Instance iscrowd=0:表示这是一个单独的物体,轮廓用Polygon(多边形的点)表示,即segmentation字段用Polygon表示 iscrowd=1:表示两个或多个没有分开的物体,轮廓用RLE编码表示,即segmention字段用RLE编码形式表示 annotation-Object keypoint 相比于object Instance标注,增加了两个字段:Keypoints和num_keypo...
over 70,000 worker hours non-iconic images of objects in natural environments and varied viewpoints. rich contextual information 未来展望/方向: 现在没有标注stuff,未来可以标注 附录 detailed descriptions of the AMT user interfaces the full list of OBJECT & SCENE CATEGORIES 作者:@臭咸鱼 转载请注明出处...
unseen object classes by between-class attribute transfer,” in CVPR, 2009. [39] G. Heitz and D. Koller, “Learning spatial context: Using stuff to find things,” inECCV, 2008. [40] R. Sitton,Spelling Sourcebook. Egger Publishing, 1996. [41] T. Berg and A. Berg, “Finding iconic i...
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, the creation ...
1 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 recogni...
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding. This is achieved by gathering images of complex ev
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....
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding. This is achieved by gathering images of complex everyday scenes containing common objects ...
object- and scene-level abstraction. Each sketch is augmented with its text description. Using our dataset, we study for the first time the problem of fine-grained image retrieval from freehand scene sketches and sketch captions. We draw insights on: (i) Scene salience encoded in sketches ...
ShouldSerializeSectionInTargetVersion(FrameworkName) 指示在为.NET Framework的指定目标版本序列化配置对象层次结构时,是否应序列化当前ConfigurationSection实例。 (继承自 ConfigurationSection) ToString() 返回表示当前对象的字符串。 (继承自 Object) Unmerge(ConfigurationElement, ConfigurationElement, Conf...