AhmedSSabir/Textual-Image-Caption-Dataset
Update: OCT-2023 Add v2 with recent SoTA model swinV2 classifier for both soft/hard-label visual_caption_cosine_score_v2 with person label (0.2, 0.3 and 0.4) Introduction Modern image captaining relies heavily on extracting knowledge, from images such as objects, to capture the concept of static story in the image. In this paper, we propose a textual visual context dataset for captioning, where the publicly available dataset COCO caption (Lin et al., 2014) has… See the full description on the dataset page: https://huggingface.co/datasets/AhmedSSabir/Textual-Image-Caption-Dataset.
| Author / organization | AhmedSSabir |
|---|---|
| Downloads | 151 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 8 June 2022 |
| Last updated at source | 3 September 2025 |
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- 16 Oct 2026 Description: Update: OCT-2023 Add v2 with recent SoTA model swinV2 classifier for both soft/hard-label visual_caption_cosine_score_v2 with person label (0.2, 0.3 and 0.4) Introduction Modern image captaining relies heavily on extracting knowledge, from → Update: OCT-2023 Add v2 with recent SoTA model swinV2 classifier for both soft/hard-label visual_caption_cosine_score_v2 with person label (0.2, 0.3 and 0.4) Introduction Modern image captaining relies heavily on extracting knowledge, from
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