Published January 26, 2024 | Version v3
Dataset Open

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset

  • 1. ROR icon Graz University of Technology
  • 2. ROR icon Essen University Hospital
  • 3. ROR icon University of Giessen
  • 4. ROR icon RWTH Aachen University

Description

Dataset for the DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Challenge

More information about the challenge and challenge registration can be found on the challenge platform!

 

Timeline:

8th January 2024: First subset of training & validation data available (scenes 0000-0009).

22nd January 2024: Second subset of training & validation data available (scenes 0010-0049).

26th January 2024: Full training & validation data available (scenes 0050-0100).

 

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_0000-0009.zip

Files (20.4 GB)

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md5:11636deb697322f4bcd770e6d4abb3e1
1.8 GB Preview Download
md5:f9ce1ee65e567e46f8956e551f473dc4
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md5:5b3944a7f7e0119974df7226c980db58
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md5:c4257459b9b07513d81f2d9329b81e63
2.0 GB Preview Download
md5:d0fcf5f10b84a2cba9c8f8833a8adcce
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md5:9c52c112c303b387707a0d7a480c0e8e
2.0 GB Preview Download
md5:4e09fcd4ec359b853f82326a86d1b44d
2.3 GB Preview Download
md5:d1b8d0dd4e26cb2ce5aaa5d739865ddd
2.0 GB Preview Download

Additional details

Funding

enFaced 2.0 KLI 1044
FWF Austrian Science Fund

Dates

Created
2024-01-08
1st batch of training data
Updated
2024-01-22
2nd batch of training data
Updated
2024-01-26
Final batch of training data