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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Deeptangle Dataset: Labelled Experimental and Synthetic Videos of Swimming and Overlapping C. elegans worms

Authors: Alonso, Albert; Kirkegaard, Julius B.;

Deeptangle Dataset: Labelled Experimental and Synthetic Videos of Swimming and Overlapping C. elegans worms

Abstract

This repository contains the dataset employed in the paper Fast spline detection in high density microscopy data. Three files are provided: 1. videos.zip: raw experimental videos. 2. labeled_data.zip: labelled sections of experimental videos used for evaluation 3. syntehthic_dataset.zip: synthetic dataset used for training Labelled data Sections are named as VIDEONAME_FRAMENUMBER_SECTIONID. All labels are in labels.json and correspond to the middle frame of the clip (05.png). Example plotting script is provided (plot_data.py). Synthetic data Clips are named as NUMBEROFWORMS_ID. Labels (for all frames) are stored in labels.npy. Example plotting script is provided (plot_data.py). Related Paper: https://arxiv.org/abs/2301.04460 Deeptangle code: https://github.com/kirkegaardlab/deeptangle Labelling tool: https://github.com/kirkegaardlab/deeptanglelabel --- If used, please cite Albert Alonso & Julius B. Kirkegaard. Fast spline detection in high density microscopy data. 2023.

Experimental videos were provided by Celia Raimondi, Sunehera Sarwat and Michele Perni. This work was supported by the Novo Nordisk Foundation, Grant Agreement NNF20OC0062047.

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Keywords

c. elegans, nematodes, overlap, videos, splines

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