Created from endoscopic video feeds of real-world surgical procedures. Overall, the data consists of 307 images, each of which is annotated for the organs and different surgical instruments present in the scene.

Source: m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks

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