Comments (1)
YuyangXueEd
commented on August 16, 2024
I think in the paper they mentioned that Lacuna-10 consists of face images of 10 celebrities from VG- GFaces2, randomly sampled with at least 500 images each. We split the data into a test set of 100 samples for each class, while the remaining form the training set. Similarly, Lacuna-100 randomly samples 100 celebrities with at least 500 images each. We resize the images to 32x32. There is no overlap between the two Lacuna datasets.
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