i1-datasets/i1-imagenet22k-512-resolution-1m-tfrecord
i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu Princeton University [arXiv][code][model][project page] Overview To prepare the dataset for training, we store the image-caption pairs as TFRecords. This HuggingFace dataset contains the TFRecords corresponding to the imagenet22k dataset at 512×512 resolution. Concretely, we only retain raw images with a shorter edge of at… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-imagenet22k-512-resolution-1m-tfrecord.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face