Datasetpublic

i1-datasets/i1-places365-challenge2016-512-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 places365-challenge2016 dataset at 512×512 resolution. Concretely, we only retain raw images with a shorter… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-places365-challenge2016-512-resolution-1m-tfrecord.

sourceHugging Facemitupdated 1mo agoView on Hugging Face

0likes1.6kdownloads

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i1-datasets/i1-places365-challenge2016-512-resolution-1m-tfrecord · main · files are served by the source, never re-hosted here