mlsanityData to 7 Oct 2026

EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos

arXiv 2406.03095 ↗First posted 5 Jun 2024cs.CV cs.AI cs.LGcited by 7

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Abstract (arXiv)

Surgical tool detection is a fundamental task for understanding egocentric open surgery videos. However, detecting surgical tools presents significant challenges due to their highly imbalanced class distribution, similar shapes and similar textures, and heavy occlusion. The lack of a comprehensive large-scale dataset compounds these challenges. In this paper, we introduce EgoSurgery-Tool, an extension of the existing EgoSurgery-Phase dataset, which contains real open surgery videos captured using an egocentric camera attached to the surgeon's head, along with phase annotations. EgoSurgery-Tool has been densely annotated with surgical tools and comprises over 49K surgical tool bounding boxes across 15 categories, constituting a large-scale surgical tool detection dataset. EgoSurgery-Tool also provides annotations for hand detection with over 46K hand-bounding boxes, capturing hand-object interactions that are crucial for understanding activities in egocentric open surgery. EgoSurgery-Tool is superior to existing datasets due to its larger scale, greater variety of surgical tools, more annotations, and denser scenes. We conduct a comprehensive analysis of EgoSurgery-Tool using nine popular object detectors to assess their effectiveness in both surgical tool and hand detection. The dataset will be released at https://github.com/Fujiry0/EgoSurgery.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 18 of its 25 references that are in the map. First posted on arXiv 5 Jun 2024.

Builds on

18 of 25 references.

References · 18

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6 more
  1. 2018Weakly-Supervised Learning for Tool Localization in Laparoscopic Videoscited by 20
  2. 2024EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videoscited by 20
  3. 2023Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025cited by 11
  4. 2020Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgerycited by 9
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  6. 2024Weakly Semi-supervised Tool Detection in Minimally Invasive Surgery Videoscited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 3.

7 papers.