在介绍了之前的一些生成caption的工作后,作者非常关心是否有一种评估机制能保证生成caption的一致性(When evaluating image caption generation algorithms,it is essential that a consistent evaluation protocol is used.)。 数据集:The MS COCO caption dataset contains human generated captions for images contained in...
In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 330,000 images. For the training and validation images, five independent human generated captions will be provided. To ...
Microsoft COCO captions: Data collection and evaluation server. CoRR, abs/1504.00325.Chen, X., Fang, H., Lin, T.Y., Vedantam, R., Gupta, S., Dolla´r, P., Zitnick, C.L.: Microsoft coco captions: Data collection and evaluation server. CoRR (2015)...
An open-source Python library to improve your work with COCO datasets pythoncomputer-visionartificial-intelligencecocomicrosoft-coco UpdatedJan 12, 2025 Jupyter Notebook An integrated web app that captions image and created with ReactJs and Python, with Pytorch ...
7)5 captions per image( 8)Keypoints on 100,000 people 为了更好的介绍这个数据集,微软在ECCV Workshops里发表这篇文章:Microsoft COCO: Common Objects in Context。从这篇文章中,我们了解了这个数据集以scene understanding为目标,主要从复杂的日常场景中截取,图像中的目标通过精确的segmentation进行位置的标定。图...
and deep multimodal similarity models are learned directly from a dataset of image captions. Our system is state-of-the-art on the official Microsoft COCO benchmark, producing a BLEU-4 score of 29.1%. Human judges consider the captions to be as good as or better than humans 34% of the...
MSCOCO English data: @article{chen2015microsoft, title={Microsoft coco captions: Data collection and evaluation server}, author={Chen, Xinlei and Fang, Hao and Lin, Tsung-Yi and Vedantam, Ramakrishna and Gupta, Saurabh and Doll{\'a}r, Piotr and Zitnick, C Lawrence}, journal={arXiv prepri...
and what type of music you don’t, therefore tailoring recommendations more to your taste than someone else’s. In the recent Microsoft Common Objects in Context (COCO) Captioning Challenge however, Machine Learning was used for something a lot more creative, and Google and Microsoft both tired...
They tested this hypothesis by pairing images and captions from theMicrosoft COCO dataset(opens in new tab)[1] with dialogues for these same images from theVisual Dialog dataset(opens in new tab)[2]. The dialogues in the Visual Dialog dataset were collected by pairing people. The person pla...
In an example, vision language model112and/or150may use Contrastive Language-Image Pre-training (CLIP) or Florence-H, and captioner114may comprise Block-based image Processor (BLIP) tuned on the Common Objects in Context (COCO) captions dataset. Object detector116may comprise a general, class-...