wget https://syn-mediverse.cs.uni-freiburg.de/datasets/download_syn-mediverse.sh
Step 2: Run it to fetch all parts of the dataset:
bash download_mediverse.sh /your/target/path
--img
, --depth
, --hierarchical
, or
--label
to
selectively download components.
--hierarchical
to fetch fine grained labels
for Hierarchical Semantic Segmentation, and use --label
to fetch labels for the
remaining tasks.
bash download_mediverse.sh /your/target/path --img --label
label_helper.py
– This script provides a complete mapping of coarse semantic classes used in the
dataset,
including label IDs, training IDs, categories, evaluation masks, and RGB colors.
label_helper.py
.
It contains:
stuffthingmaps
– semantic segmentation maps with class indices from
0 to 20, and 255 marking void areastrain
, val
, and test
folders containing
the corresponding imagesExplore Benchmarks: Click on any image or button below to view detailed benchmark pages for each task, including leaderboard results and evaluation settings.
Rohit Mohan,
José Arce,
Sassan Mokhtar,
Dr. Daniele Cattaneo, and
Abhinav Valada
"Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding
of Healthcare Facilities"
IEEE Robotics and Automation Letters (RA-L), 2024.