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Retinal Microsurgery

Retinal Microsurgery

Retinal Microsurgery

The Retinal Microsurgery dataset is a dataset for surgical instrument tracking. It consists of 18 in-vivo sequences, each with 200 frames of resolution 1920 × 1080 pixels. The dataset is further classified into four instrument-dependent subsets. The annotated tool joints are n=3 and semantic classes c=2 (tool and background).

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Computer Aided Medical Procedures (CAMP), TU Munich, Germany
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Task
Medical Images
Annotation Types
Semantic Segmentation
3600
Items
200
Classes
3600
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only