10.60507/FK2/TTPCNVHalstead, MichaelMichaelHalstead0000-0001-7185-9304University of BonnGuclu, EsraEsraGuclu0000-0003-1106-5566University of BonnFarag, MohamedMohamedFarag0000-0003-4301-1140University of BonnPallotta, EnricoEnricoPallotta0009-0003-9276-0540University of BonnHund, ChristianChristianHundUniversity of BonnRoscher, RibanaRibanaRoscher0000-0003-0094-6210University of BonnBennewitz, MarenMarenBennewitz0000-0003-4343-3028University of BonnGall, JuergenJuergenGall0000-0002-9447-3399University of BonnMcCool, ChrisChrisMcCool0000-0002-0577-1299CSIROBUTom-ST21: Spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labelsbonndata2026Agricultural SciencesGüclü, EsraEsraGüclüUniversity of Bonn2026-07-142026-07-172021-08-18/2021-09-10Images; Numerical; Spreadsheet; Structured; Qualitative10.48550/arXiv.2607.1493410.1177/02783649251379093986974454080774294967296241304719850518190330279060138811816235844041142949672964294967296429496729642949672964294967296429496729667910294041275393976891760text/markdowntext/plainapplication/yamlaudio/x-pn-audibleaudioapplication/octet-streamapplication/gzipapplication/gzipapplication/gzipapplication/gzipaudio/x-pn-audibleaudioapplication/octet-streamapplication/pkix-attr-certapplication/octet-streamapplication/octet-streamapplication/octet-streamimage/x-applix-graphicsapplication/yamlapplication/yamlapplication/yamlapplication/yaml1.0CC BY 4.0The BUTom-ST21 alleviates the data paucity issue within the horticulture and tomato domain. We employed BUTom21 still image dataset and generated spatial-temporal tomato dataset using a neural-radiance field based approach.
In total we have 217 video sequences (123 train/ 72 valid/ 22 eval) can be used for image-based/video-based detection and segmentation, and multi object tracking. The train and validation sets are weakly labeled(pseudo-labeled), and evaluation set is hand-labeled ground-truth. BUTom-ST21 has 7749, and 4536 pseudo-labeled images across the training and validation set, and 1386 images hand-labeled in the evaluation set. Additionally it has camera poses per sequence, enabling the use of 3D reconstruction purposes in horticultural field.