We introduce the Let's Go Shopping (LGS) dataset, a large-scale public dataset with 15 million image-caption pairs from publicly available e-commerce websites. When compared with existing general-domain datasets, the LGS images focus on the foreground object and have less complex backgrounds. ...
[论文阅读] 开源的多模态文档数据集,OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents王junjie 早稻田大学 信息理工与信息通信博士8 人赞同了该文章 目录 收起 1 Idea 2 创建多模态网页文档数据集 2.1 收集HTML文件 2.2 对HTML文件化简 2.3 提取多模态网页文档 2.4 ...
The dataset consists of collections of attributes and images at various data samples for a page. In the DLMP-PGDT-based feature analysis method; the extract of the attribute and image in various texture patterns are analyzed and framed as the pattern for the given dataset. ...
If you are using this dataset or this code, please cite @misc{laurencon2023obelics, title={OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents}, author={Hugo Laurençon and Lucile Saulnier and Léo Tronchon and Stas Bekman and Amanpreet Singh and Anton Lozhkov...
We take a step further in pushing the limits of vision-and-language pre-training data by relaxing the data collection pipeline used in Conceptual Captions 3M (CC3M) [70] and introduce the Conceptual 12M (CC12M), a dataset with 12 million image-text pairs specifically meant to be used for...
--data_name {coco,f30k,cc152k,now100k}_precomp and --data_path : Your dataset name and path. --tokenizer {bpe,bert,jieba}: The tokenizer used for NoW dataset. --noise_ratio: Noisy ratio for Flickr30K and MS-COCO. --noise_file: Noise file for the feproduction of noise corresponden...
data.dataset' to string Cannot implicitly convert type 'double' to 'string' Cannot implicitly convert type 'int' to 'string' Cannot implicitly convert type 'int' to 'System.DateTime' cannot implicitly convert type 'string' to 'bool' Cannot implicitly convert type 'string' to 'byte[]...
はじめに、Ready-to-use models (すぐに使えるモデル)ページでSentiment analysis (センチメント分析)を見つけ、Batch prediction (バッチ予測)でImport new dataset (新しいデータセットのインポート)を選択します。 新しいデータセットを作成するとき...
Sharma, P., Ding, N., Goodman, S., Soricut, R.: Conceptual captions: a cleaned, hypernymed, image alt-text dataset for automatic image captioning. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2556–2565 (2018) ...
We perform an analysis of this dataset, as well as benchmark its effectiveness against CC3M on multiple downstream tasks with an emphasis on long-tail visual recognition. The quantitative and qualitative results clearly illustrate the benefit of scaling up pre-training data for vision-and-language ...