Search is not available for this dataset
image1_jpeg unknown | image1_metadata unknown | image2_jpeg unknown | image2_metadata unknown | image1_embedding0 listlengths 512 512 | image2_embedding0 listlengths 512 512 |
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End of preview. Expand in Data Studio
Paired ArcFace Embeddings (CASIA-WebFace)
This dataset contains randomly paired face records from CASIA-WebFace embedded with ArcFace 512 (512-dimensional embeddings).
Introduced by Yi et al. in Learning Face Representation from Scratch The CASIA-WebFace dataset is used for face verification and face identification tasks.
The purpose of this dataset was to enable fast training of models learning from paired embeddings.
Record fields
image1_jpeg,image2_jpeg: JPEG bytes for each image in the pairimage1_metadata,image2_metadata: per-image metadata payloadsimage1_embedding0,image2_embedding0: ArcFace embedding vectors
Arc2Face naming note
We picked ArcFace 512 for embeddings because Arc2Face diffusion can be used to generate debug face visualizations from embeddings.
See https://huggingface.co/FoivosPar/Arc2Face
Splits
train: 9 parquet files, 3.50 GBvalidation: 20 parquet files, 345.90 MB
Example
from datasets import load_dataset
ds = load_dataset("scaleinvariant/paired-arcface-embeddings-casia-webface", split="train", streaming=True)
print(next(iter(ds)).keys())
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