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CIFAR-100 DINOv2 Features
Precomputed DINOv2 (ViT-S/14) feature embeddings for the CIFAR-100 training set, indexed with FAISS for nearest-neighbor retrieval.
Files
cifar100_vits14.faiss— FAISS IndexFlatIP, 50,000 vectors, 384-dimcifar100_vits14_metadata.json— class names and dataset metadatacifar100_vits14_train_labels.npy— class labels for the indexed vectors
Usage
This dataset powers the Cloud Feature Bank API — a REST service for retrieval-augmented visual recognition.
Stats
- Model: facebook/dinov2-small
- Feature dim: 384
- kNN accuracy: 80.43% (top-K=20 on CIFAR-100 test set)
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