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--- |
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license: apache-2.0 |
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annotations_creators: |
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- human generated by using detail_desc and color |
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language: |
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- en |
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language_creators: |
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- other |
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multilinguality: |
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- monolingual |
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pretty_name: 'H&M Clothes captions' |
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size_categories: |
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- n=1K |
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source_datasets: |
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- www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations |
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tags: [] |
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task_categories: |
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- text-to-image |
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task_ids: [] |
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--- |
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# Dataset Card for H&M Clothes captions |
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_Dataset used to train/finetune [Clothes text to image model] |
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Captions are generated by using the 'detail_desc' and 'colour_group_name' or 'perceived_colour_master_name' from kaggle/competitions/h-and-m-personalized-fashion-recommendations. Original images were also obtained from the url (https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations/data?select=images) |
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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. |
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--- |
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