m2cai16-tool-locations
Introduced by Jin et al. in Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
The m2cai16-tool-locations dataset contains spatial tool annotations for 2,532 frames across the first 10 videos in the m2cai16-tool dataset, which includes 15 videos in total. The dataset consists of 3,141 annotations of 7 surgical instrument classes, with an average of 1.2 labels per frame and 7 instrument classes per video.
Source: http://ai.stanford.edu/~syyeung/tooldetection.htmlPapers
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