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zoheb/sketch-scene

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Hugging Face2022-10-30 更新2024-03-04 收录
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https://hf-mirror.com/datasets/zoheb/sketch-scene
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资源简介:
--- license: cc-by-nc-sa-4.0 language: - en language_creators: - machine-generated multilinguality: - monolingual pretty_name: 'Sketch Scene Descriptions' size_categories: - n<10K source_datasets: - FS-COCO tags: [] task_categories: - text-to-image task_ids: [] --- # Dataset Card for Sketch Scene Descriptions _Dataset used to train [Sketch Scene text to image model]()_ We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO. With practical applications in mind, we collect sketches that convey well scene content but can be sketched within a few minutes by a person with any sketching skills. Our dataset comprises around 10,000 freehand scene vector sketches with per-point space-time information by 100 non-expert individuals, offering both object- and scene-level abstraction. Each sketch is augmented with its text description. For each row, the dataset contains `image` and `text` keys. `image` is a varying size PIL jpeg, and `text` is the accompanying text caption. Only a train split is provided. ## Citation If you use this dataset, please cite it as: ``` @inproceedings{fscoco, title={FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context.} author={Chowdhury, Pinaki Nath and Sain, Aneeshan and Bhunia, Ayan Kumar and Xiang, Tao and Gryaditskaya, Yulia and Song, Yi-Zhe}, booktitle={ECCV}, year={2022} } ```
提供机构:
zoheb
原始信息汇总

数据集概述

基本信息

  • 名称: Sketch Scene Descriptions
  • 许可证: cc-by-nc-sa-4.0
  • 语言: 英语
  • 语言创建者: 机器生成
  • 多语言性: 单语
  • 大小类别: 小于10K
  • 来源数据集: FS-COCO
  • 任务类别: 文本到图像

数据集内容

  • 描述: 该数据集包含约10,000个自由手绘场景矢量草图,由100名非专业人士绘制,每个草图附有文本描述。
  • 数据结构: 每条记录包含imagetext键。image是大小可变的PIL jpeg图像,text是对应的文本标题。
  • 数据分割: 仅提供训练集。

引用信息

  • 引用格式:

    @inproceedings{fscoco, title={FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context.}, author={Chowdhury, Pinaki Nath and Sain, Aneeshan and Bhunia, Ayan Kumar and Xiang, Tao and Gryaditskaya, Yulia and Song, Yi-Zhe}, booktitle={ECCV}, year={2022} }

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