metadata

license: apache-2.0
annotations_creators:
  - human generated by using detail_desc and color
language:
  - en
language_creators:
  - other
multilinguality:
  - monolingual
pretty_name: H&M Clothes captions
size_categories:
  - n=1K
source_datasets:
  - www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations
tags: []
task_categories:
  - text-to-image
task_ids: []

Dataset Card for H&M Clothes captions

_Dataset used to train/finetune [Clothes text to image model]

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)

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.

Dataset Card for H&M Clothes captions

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.

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.