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Part 1: Document Description
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Citation |
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Title: |
BUTom21: Still image tomato dataset for detection and segmentation |
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Identification Number: |
doi:10.60507/FK2/DHTEH1 |
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Distributor: |
bonndata |
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Date of Distribution: |
2026-07-17 |
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Version: |
1 |
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Bibliographic Citation: |
Halstead, Michael; Guclu, Esra; Farag, Mohamed; Pallotta, Enrico; Hund, Christian; Roscher, Ribana; Bennewitz, Maren; Gall, Juergen; McCool, Chris, 2026, "BUTom21: Still image tomato dataset for detection and segmentation", https://doi.org/10.60507/FK2/DHTEH1, bonndata, V1 |
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Citation |
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Title: |
BUTom21: Still image tomato dataset for detection and segmentation |
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Identification Number: |
doi:10.60507/FK2/DHTEH1 |
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Authoring Entity: |
Halstead, Michael (University of Bonn) |
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Guclu, Esra (University of Bonn) |
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Farag, Mohamed (University of Bonn) |
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Pallotta, Enrico (University of Bonn) |
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Hund, Christian (University of Bonn) |
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Roscher, Ribana (University of Bonn) |
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Bennewitz, Maren (University of Bonn) |
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Gall, Juergen (University of Bonn) |
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McCool, Chris (CSIRO) |
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Distributor: |
bonndata |
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Access Authority: |
Güclü, Esra |
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Depositor: |
Güclü, Esra |
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Date of Deposit: |
2026-07-14 |
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Holdings Information: |
https://doi.org/10.60507/FK2/DHTEH1 |
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Study Scope |
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Keywords: |
Agricultural Sciences |
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Abstract: |
BUTom21 dataset is a fully hand-annotated still image dataset of tomatoes. It contains 123, 72, 98 images respectively in the training, validation, and evaluation subsets. The dataset contains RGB and noisy depth images captured across 2 capture days and two different RealSense D435i cameras. This creates a fully pixel-wise annotated dataset for tomato detection and segmentation in a real-world robotics scenario. |
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Date of Collection: |
2021-08-18-2021-09-10 |
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Kind of Data: |
Images; Numerical; Spreadsheet; Structured; Qualitative |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a> |
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Other Study Description Materials |
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Related Studies |
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Halstead, Michael; Guclu, Esra; Farag, Mohamed; Pallotta, Enrico; Hund, Christian; Roscher, Ribana; Bennewitz, Maren; Gall, Juergen; McCool, Chris, 2026, "BUTom-ST21: Spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels", https://doi.org/10.60507/FK2/TTPCNV, bonndata |
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Related Publications |
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Citation |
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Title: |
Halstead, Michael; Guclu, Esra; Farag, Mohamed; Pallotta, Enrico; Hund, Christian; Roscher, Ribana; Bennewitz, Maren; Gall Juergen; Stachniss, Cyrill; McCool, Chris,"Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels", https://arxiv.org/abs/2607.14934, arXiv |
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Identification Number: |
10.48550/arXiv.2607.14934 |
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Bibliographic Citation: |
Halstead, Michael; Guclu, Esra; Farag, Mohamed; Pallotta, Enrico; Hund, Christian; Roscher, Ribana; Bennewitz, Maren; Gall Juergen; Stachniss, Cyrill; McCool, Chris,"Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels", https://arxiv.org/abs/2607.14934, arXiv |
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Label: |
BUTom21.tar.gz |
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Notes: |
application/gzip |
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Label: |
BUTom21_structure.md |
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Notes: |
text/markdown |
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Label: |
Halstead_BUTom21_ReadMe.txt |
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Notes: |
text/plain |