DINOv2
Datasets
All datasets matching “DINOv2”imagenet-w21-wds-dinov2pdm-pae-dinov2l-d32-imagenet256-train-full
PDM PAE DINOv2-L d32 ImageNet-256 Train Latent Cache
This repository contains the PAE latent cache produced for /workspace/PDM.
Contents
Cache type: PAE DINOv2-L d32 latent cache
Source split: ImageNet-1k train after 256x256 ADM-style cropping
Local source path during creation: /workspace/PDM/data/pae_latents/PAE_DINOv2L_d32/imagenet256_train_full
Number of shards: 313
Total samples: 1,281,167
Total size: 41.992 GB decimal
Latent tensor shape per sample: [32, 16, 16]… See the full description on the dataset page: https://huggingface.co/datasets/LAXMAYDAY/pdm-pae-dinov2l-d32-imagenet256-train-full.imagenet1k_invae-latents_dinov2_pcaCore-S2RGB-DINOv2
Core-S2RGB-DINOv2 🔴🟢🔵
Dataset
Modality
Number of Embeddings
Sensing Type
Total Comments
Source Dataset
Source Model
Size
Core-S2RGB-SigLIP
Sentinel-2 Level 2A (RGB)
56,147,150
True Colour (RGB)
General-Purpose Global
Core-S2L2A
DINOv2
223.1 GB
Content
Field
Type
Description
unique_id
string
hash generated from geometry, time, product_id, and embedding model
embedding
array
raw embedding array
grid_cell
string
Major TOM cell
grid_row_u… See the full description on the dataset page: https://huggingface.co/datasets/Major-TOM/Core-S2RGB-DINOv2.commonpool-128-dinov2-small
CommonPool-128-DINOv2-small
This is a derived WebDataset version of
quinnlue/commonpool-256-ssl with 128x128
stored images and precomputed facebook/dinov2-small image embeddings.
Provenance
Source dataset: quinnlue/commonpool-256-ssl at revision 78cc60b3ba29bd3fe3bd212eb22faefc4906471d
Source license/use terms: non-commercial research, inherited from the source dataset
Model: facebook/dinov2-small at revision ed25f3a31f01632728cabb09d1542f84ab7b0056
Embedding… See the full description on the dataset page: https://huggingface.co/datasets/quinnlue/commonpool-128-dinov2-small.openaccess-embeddings-dinov2-giant
metmuseum/openaccess-embeddings-dinov2-giant
Image embeddings for every public-domain artwork in metmuseum/openaccess, produced by facebook/dinov2-giant.
Column
Type
Notes
objectID
int64
Primary key — matches objectID in metmuseum/openaccess
embedding
list<float32>
L2-normalised, dim = 1536
model
string
Source model id
dim
int32
Embedding dimension
Image bytes are not stored here; join against the main dataset to recover them.
Embedding spec: dim=1536, expected… See the full description on the dataset page: https://huggingface.co/datasets/metmuseum/openaccess-embeddings-dinov2-giant.