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| Format: | Recurso digital |
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Zenodo
2024
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| Accès en ligne: | https://doi.org/10.5281/zenodo.14004909 |
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| _version_ | 1866901980458254336 |
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| author | Nguyen, Phuc-Tan Nguyen, Hieu Tran, Minh-Triet Le, Trung-Nghia |
| author_facet | Nguyen, Phuc-Tan Nguyen, Hieu Tran, Minh-Triet Le, Trung-Nghia |
| contents | <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div> <div> <div> <div>The dataset EventCap, includes 3,140 image-caption pairs centered around real-world events. Each pair has been meticulously curated from images and information drawn from a diverse selection of reputable articles. This dataset provides a robust resource for training and assessing the capabilities of image captioning models in accurately interpreting and describing complex events in real-world contexts.</div> </div> <div> <p> </p> </div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14004909 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | EventCap Nguyen, Phuc-Tan Nguyen, Hieu Tran, Minh-Triet Le, Trung-Nghia <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div> <div> <div> <div>The dataset EventCap, includes 3,140 image-caption pairs centered around real-world events. Each pair has been meticulously curated from images and information drawn from a diverse selection of reputable articles. This dataset provides a robust resource for training and assessing the capabilities of image captioning models in accurately interpreting and describing complex events in real-world contexts.</div> </div> <div> <p> </p> </div> </div> |
| title | EventCap |
| url | https://doi.org/10.5281/zenodo.14004909 |