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Dataset . 2023
License: CC BY
Data sources: Datacite
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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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Parcel2D Real - A real-world image dataset of cuboid-shaped parcels with 2D and 3D annotations

Authors: Naumann, Alexander; Hertlein, Felix; Zhou, Benchun; Dörr, Laura; Furmans, Kai;

Parcel2D Real - A real-world image dataset of cuboid-shaped parcels with 2D and 3D annotations

Abstract

Real-world dataset of ~400 images of cuboid-shaped parcels with full 2D and 3D annotations in the COCO format. Relevant computer vision tasks: bounding box detection instance segmentation keypoint estimation 3D bounding box estimation 3D voxel reconstruction (.binvox files) 3D reconstruction (.obj files) For details, see our paper and project page. If you use this resource for scientific research, please consider citing @inproceedings{naumannScrapeCutPasteLearn2022, title = {Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics}, author = {Naumann, Alexander and Hertlein, Felix and Zhou, Benchun and Dörr, Laura and Furmans, Kai}, booktitle = {{{IEEE Conference}} on {{Machine Learning}} and Applications ({{ICMLA}})}, date = 2022 }

Keywords

parcel, machine learning, logistics, instance segmentation, deep learning, keypoint estimation, 3D reconstruction, 3D bounding box estimation, computer vision

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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).
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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.
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