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