CholecT50 Dataset (FiftyOne Format) This is a FiftyOne dataset version of the CholecT50 dataset. CholecT50 is a dataset of laparoscopic cholecystectomy surgeries, annotated with surgical action triplets. It is the first public dataset to provide action triplet annotations for surgical videos, enabling research in fine grained surgical activity recognition. Dataset Description Repository: CAMMA public/cholect50 Paper: Rendition of CholecT50: A dataset for surgical action triplet recognition Point of Contact: Chinedu Innocent Nwoye Dataset Summary CholecT50 consists of 50 videos of laparoscopic cholecystectomy surgeries. Each frame is annotated with action triplets of the form . Instruments: 7 categories (e.g., grasper, bipolar, hook) Verbs: 10 categories (e.g., grasp, retract, cauterize) Targets: 15 categories (e.g., gallbladder, cystic duct, liver) The dataset contains approximately 100,000 annotated frames, providing a rich source for training and evaluating models for surgical video understanding. Installation If you haven't already, install FiftyOne: Usage You can load the dataset from the Hugging Face Hub using FiftyOne: Dataset Structure The dataset is organized as a FiftyOne…
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