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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Event-based Dataset of Assembly Tasks (EDAT24)

Authors: Duarte, Laura; Neto, Pedro;

Event-based Dataset of Assembly Tasks (EDAT24)

Abstract

Version 2: Re-upload to replace empty .npy files. IMPORTANT NOTE: pick/bridge_roof_2, pick/bridge_roof_3 and pick/bridge_roof_4 files have background movement (a walking person) and, as such, should be used carefully when deploying the dataset. ------------------------------------------------------------------------------------------------------------------------------------------------ Description: The Event-based Dataset of Assembly Tasks (EDAT24), features four representative assembly primitive actions, idle, pick, place, and screw, collected by using the objects from the open-source benchmark CT-Benchmark. The dataset features a total of 400 recordings, with 100 samples for each primitive action. Available Data: The EDAT24 dataset contains a total of 400 sample videos recorded with the DAVIS240C where the event camera captured events and APS frames simultaneously with a resolution of 240 pixels × 180 pixels. DAVIS APS data are captured at 20 fps (frames per second). Event data is available in the original recorded format, .aedat (AEDAT 2.0), and is accompanied with a .csv file containing the timestamps with the start and end time of the recording, and with a .npy file which contains the information from the events (coordinates x and y, timestamp and polarity). The videos are labelled using the format primitive/task_nSample.aedat, where: primitive corresponds to the various primitive tasks (idle, pick, place, and screw) task corresponds to the name of the part of the CT-Benchmark the user is interacting with. nSample corresponds to the sample number for each task. The Python code used to record, timestamp and convert into .npy is available at here.

Related Organizations
Keywords

DAVIS, Computer Vision, Event Camera

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average