metmuseum/openaccess-embeddings-siglip2-naflex
收藏Hugging Face2026-05-07 更新2026-05-31 收录
下载链接:
https://hf-mirror.com/datasets/metmuseum/openaccess-embeddings-siglip2-naflex
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资源简介:
该数据集为metmuseum/openaccess数据集中所有公共领域艺术品的图像嵌入向量,使用google/siglip2-so400m-patch16-naflex模型生成。每个嵌入向量对应一个唯一的objectID,与主数据集中的objectID匹配,并包含L2归一化的1152维浮点数列表、模型来源和嵌入维度信息。数据集不存储图像字节,需通过连接主数据集来获取原始图像。嵌入规范为维度1152,预期图像大小为256像素。
Image embeddings for every public-domain artwork in metmuseum/openaccess, produced by google/siglip2-so400m-patch16-naflex. Each embedding corresponds to an objectID matching the main dataset, with L2-normalised vectors of dimension 1152, model source, and embedding dimension. Image bytes are not stored; join with the main dataset to recover them. Embedding spec: dim=1152, expected image size=256px.
提供机构:
metmuseum


