Researchers typically download the dataset in a structured folder layout:
: Approximately 2,811 to 2,812 frames have been meticulously labeled with spatial bounding boxes. m2cai16-tool-locations
Consists of 15 laparoscopic surgical videos recorded at 25 fps at the University Hospital of Strasbourg, France. Researchers typically download the dataset in a structured
Use matplotlib and torchvision.utils.draw_bounding_boxes : 811 to 2
To understand the significance of , one must first understand the landscape of surgical data science circa 2016. Before this time, most available datasets focused on "tool presence" detection—a binary classification task determining simply if a specific tool was present in a frame. While useful, this approach lacked spatial awareness.
path: ./m2cai16-tool-locations train: images/train val: images/val nc: 16 names: ['grasper','scissors','hook','clipper','irrigator','specimen_bag','bipolar','hook_electrode','trocars','stapler','suction','clip_applier','vessel_sealer','ligasure','ultrasonic','other']