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BUTom21: Still image tomato dataset for detection and segmentation

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Important usage condition: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/DHTEH1
Published version
1.0
Publication date
2026-07-17
License
CC BY 4.0

Description

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.

Creators

Keywords

Tomato Detection, Tomato Segmentation, sweeterno, phenotyping

Files

Before downloading: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
Halstead_BUTom21_ReadMe.txttext/plain5739MD5 99401ee209c44d10c1e714b5b499f094
BUTom21_structure.mdtext/markdown5419MD5 49f756154edca4a025e8fab8e6cc4c22
BUTom21.tar.gzapplication/gzip500703195MD5 09ba15fe38e8b1997f31bce6e9224753

Citation

Halstead, Michael; Guclu, Esra; Farag, Mohamed; Pallotta, Enrico; Hund, Christian; Roscher, Ribana; Bennewitz, Maren; Gall, Juergen; McCool, Chris, 2026-07-17, BUTom21: Still image tomato dataset for detection and segmentation, doi:10.60507/FK2/DHTEH1, V1.0

Additional Dataverse fields

Id784
Dataset Typedataset
Internal Version Number34
Latest Version Publishing StateRELEASED
Release Time2026-07-17T11:55:25Z
Create Time2026-07-14T20:04:38Z
Citation Date2026-07-17
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
BUTom21: Still image tomato dataset for detection and segmentation
Alternative URL alternativeURL
https://github.com/Agricultural-Robotics-Bonn/BUTom21-ST21
Author author
  1. Author Name
    Halstead, Michael
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0001-7185-9304
    Expandedvalue
    Person Name
    Halstead, Michael
    @id
    https://orcid.org/0000-0001-7185-9304
    Scheme
    ORCID
    @type
    https://schema.org/Person
  2. Author Name
    Guclu, Esra
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-1106-5566
    Expandedvalue
    Person Name
    GUCLU, ESRA
    @id
    https://orcid.org/0000-0003-1106-5566
    Scheme
    ORCID
    @type
    https://schema.org/Person
  3. Author Name
    Farag, Mohamed
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-4301-1140
    Expandedvalue
    Person Name
    Farag, Mohamed
    @id
    https://orcid.org/0000-0003-4301-1140
    Scheme
    ORCID
    @type
    https://schema.org/Person
  4. Author Name
    Pallotta, Enrico
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0009-0003-9276-0540
    Expandedvalue
    Person Name
    Pallotta, Enrico
    @id
    https://orcid.org/0009-0003-9276-0540
    Scheme
    ORCID
    @type
    https://schema.org/Person
  5. Author Name
    Hund, Christian
    Author Affiliation
    University of Bonn
  6. Author Name
    Roscher, Ribana
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-0094-6210
    Expandedvalue
    Person Name
    Roscher, Ribana
    @id
    https://orcid.org/0000-0003-0094-6210
    Scheme
    ORCID
    @type
    https://schema.org/Person
  7. Author Name
    Bennewitz, Maren
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-4343-3028
    Expandedvalue
    Person Name
    Bennewitz, Maren
    @id
    https://orcid.org/0000-0003-4343-3028
    Scheme
    ORCID
    @type
    https://schema.org/Person
  8. Author Name
    Gall, Juergen
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0002-9447-3399
    Expandedvalue
    Person Name
    Gall, Juergen
    @id
    https://orcid.org/0000-0002-9447-3399
    Scheme
    ORCID
    @type
    https://schema.org/Person
  9. Author Name
    McCool, Chris
    Author Affiliation
    CSIRO
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0002-0577-1299
    Expandedvalue
    Person Name
    McCool, Chris
    @id
    https://orcid.org/0000-0002-0577-1299
    Scheme
    ORCID
    @type
    https://schema.org/Person
Dataset Contact datasetContact
  1. Dataset Contact Name
    Güclü, Esra
    Dataset Contact Affiliation
    University of Bonn
    Dataset Contact Email
    egueclue@uni-bonn.de
Ds Description dsDescription
  1. Ds Description Value
    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.
    Ds Description Date
    2026-07-14
Subject subject
  1. Agricultural Sciences
Free Keyword freeKeyword
  1. Free Keyword Value
    Tomato Detection
  2. Free Keyword Value
    Tomato Segmentation
  3. Free Keyword Value
    sweeterno
  4. Free Keyword Value
    phenotyping
Publication publication
  1. Publication Relation Type
    IsSupplementTo
    Publication 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
    Publication IDType
    doi
    Publication IDNumber
    10.48550/arXiv.2607.14934
    Publication URL
    https://doi.org/10.48550/arXiv.2607.14934
Depositor depositor
Güclü, Esra
Date Of Deposit dateOfDeposit
2026-07-14
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2021-08-18
    Date Of Collection End
    2021-09-10
Kind Of Data kindOfData
  1. Images; Numerical; Spreadsheet; Structured; Qualitative
Related Datasets relatedDatasets
  1. 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

Computational Workflow Metadata

Workflow Type workflowType
  1. Bash Script
  2. Other Python-based workflow
Workflow Code Repository workflowCodeRepository
  1. https://github.com/Agricultural-Robotics-Bonn/BUTom21-ST21

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