DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset
Creators
Description
Dataset for the DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Challenge
More information about the challenge can be found on the challenge website!
Timeline:
8th January 2024: First subset of training & validation data available.
22nd January 2024: Second subset of training & validation data available.
29th January 2024: Full training & validation data available.
Description:
The dataset was created using Unreal Engine 5.1, Unreal MetaHumans, 3D-COSI surgical instruments, POV-Surgery grasp generation and EasySynth.
Each scene contains:
- "color": RGB input images
- "gt": RGB ground truth images
- "mask": Mask defining the area to be inpainted. White -> Background, Black -> Inpainting area
- "CameraPoses.csv": Camera poses
- "CameraRig.json": Camera intrinsics
Files
DREAMING_training_0000-0010.zip
Files
(1.8 GB)
Name | Size | Download all |
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md5:b575374aee573e02d0e1e6f632b48586
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1.8 GB | Preview Download |
Additional details
Funding
- FWF Austrian Science Fund
- enFaced 2.0 KLI 1044
Dates
- Created
-
2024-01-08