src/model/encoder/blocks/torchhub/dinov3/DATASETS.md

Dataset setups for DINOv3

Evaluations

Depth Estimation on NYU

Create a folder to host the NYU dataset for example:

export DEPTH_DATASETS_ROOT=${HOME}/datasets
mkdir -p ${DEPTH_DATASETS_ROOT}/NYU

We use the NYU subset extracted by BTS from the 120k samples of the original NYU raw dataset.

Option 1 -- Follow BTS's instructions

Please follow BTS instructions to create the dataset:

• train set
• test set.

Make sure you also download the train and test splits:

wget https://github.com/cleinc/bts/blob/master/train_test_inputs/nyudepthv2_train_files_with_gt.txt -O ${DEPTH_DATASETS_ROOT}/NYU/nyu_train.txt
wget https://github.com/cleinc/bts/blob/master/train_test_inputs/nyudepthv2_test_files_with_gt.txt -O ${DEPTH_DATASETS_ROOT}/NYU/nyu_test.txt

Option 2 (preferred) -- Download the readily availble dataset from BinsFormer

Alternatively, one can download the dataset from the following Google Drive link. If the Google Drive link is not available anymore, try Option 1.

Expected contents:

• $DEPTH_DATASETS_ROOT/NYU/basement/[...]
• $DEPTH_DATASETS_ROOT/NYU/basement_0001a/[...]
• $DEPTH_DATASETS_ROOT/NYU/basement_0001b/[...]
• $DEPTH_DATASETS_ROOT/NYU/bathroom/[...]
• $DEPTH_DATASETS_ROOT/NYU/[...]
• $DEPTH_DATASETS_ROOT/NYU/study_room_0004/[...]
• $DEPTH_DATASETS_ROOT/NYU/study_room_0005a/[...]
• $DEPTH_DATASETS_ROOT/NYU/study_room_0005b/[...]
• $DEPTH_DATASETS_ROOT/NYU/nyu_test.txt
• $DEPTH_DATASETS_ROOT/NYU/nyu_train.txt

Note: if data is downloaded with Option 2 make sure to rename nyu into NYU.