CholecTrack20 (Multi-Perspective Multi-Class Multi-Tool Tracking Dataset)

Introduced by Nwoye et al. in CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery

CholecTrack20 is a surgical video dataset focusing on laparoscopic cholecystectomy and designed for surgical tool tracking, featuring 20 annotated videos. The dataset includes detailed labels for multi-class multi-tool tracking, offering trajectories for tool visibility within the camera scope, intracorporeal movement within the patient's body, and the life-long intraoperative trajectory of each tool. Annotations cover spatial coordinates, tool class, operator identity, phase, visual conditions (occlusion, bleeding, smoke), and more for tools like grasper, bipolar, hook, scissors, clipper, irrigator, and specimen bag, with annotations provided at 1 frame per second across 35K frames and 65K instance tool labels. The dataset uses official splits, allocating 10 videos for training, 2 for validation, and 8 for testing.

Chinedu Nwoye

Papers


Paper Code Results Date Stars

Dataset Loaders


No data loaders found. You can submit your data loader here.

Tasks


Similar Datasets


License


  • Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license

Modalities


Languages