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Data · dataset · 2025

BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data

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Accurate monitoring of crop phenotypic traits is essential for efficient farm management and automation in agriculture.

Description

Multi-object tracking (MOT) and video instance segmentation (VIS) offer promising approaches to enhance agricultural robotic vision systems, yet a major limitation is the scarcity of high-quality spatial-temporal datasets. We introduce BUP-ST20, a novel weakly labelled spatial-temporal dataset for sweet pepper tracking and segmentation captured on a robotic platform.

BUP-ST20 contains 16,240 images from 275 sequences, each with bounding boxes, instance segmentation masks, and temporal identities.The dataset has weakly labelled training and validation sets, while the evaluation set includes 3810 frames with hand-labelled ground truth annotations.

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Catalogue records · 1

Topics

Stated by source
Agricultural Sciences
From keywords
Life Sciences
Inferred from text
Agricultural spatial analysis and modelling 75% · Image 65% · Video 75%
Provenance · 1 source records, 11 field assertions
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concepts[modality].local:modality:imageenrichment · bonndata uni bonn dekeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:videoenrichment · bonndata uni bonn dekeyword-concept-rules@1.0.0title+description (75%)
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