2026-07-05T16:13:08Z https://api.figshare.com/v2/oai
oai:figshare.com:article/32764638 2026-06-29T18:09:04Z category_24553 category_28879 category_30388 portal_549 item_type_3 month_year_06_2026
10.5522/04/32764638.v1 https://figshare.com/articles/dataset/iMED_A_Multi-Endoscope_Dataset_for_Surgical_3D_Perception/32764638 https://ndownloader.figshare.com/files/66080882 Bonilla, Sierra Sierra Bonilla <![CDATA[iMED: A Multi-Endoscope Dataset for Surgical 3D Perception]]> Surgery Computer vision Sensory processes, perception and performance 3D Perception Surgical Vision 2026-06-29 2026-06-29 Dataset 2026 University College London iMED v1.0 is the first release of the iMED dataset. It contains one representative scene per session, enabling users to inspect the dataset structure, metadata, video format, calibration files, timestamps, tool masks when available, and reference trajectories.

This release is not the full iMED dataset. The full dataset release is deferred while the MICCAI iMED challenge is active to reduce data leakage. Challenge submissions are due on Sept. 1, with the planned full iMED release targeted for the ECCV conference date, Sept. 8.

The v1.0 subset is approximately 6 GB. The full dataset contains approximately seven scenes per session and be approximately 45 GB.

Included data:

  • processed stereo videos
  • raw stereo videos
  • timestamp CSV files
  • intrinsics and calibration files
  • calibration sequences for recomputation workflows
  • dataset, session, scene, and sequence metadata
  • instrument masks when tools are present
  • reference trajectories
  • ArUco dictionary metadata

Stereo depth maps are not included due to storage size. They are intended to be recomputable from the released videos, calibration files, and accompanying code located at: https://github.com/surgical-vision/imed

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