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ECCV26-Tomato-Phenotyping/SYNTOM

SYNTOM: Synthetic Tomato Greenhouse Segmentation 77,217 photorealistic renders of greenhouse tomato plants (68,328 train / 8,889 val, 1920x1080) with pixel perfect ground truth for two tasks: Semantic segmentation: 4 organ classes plus background, single channel PNG masks Instance segmentation: whole plant instances in COCO format Released with Text-conditioned Segmentation for Tomato Phenotyping via Procedural Synthetic Data, where it is used to fine-tune SAM 3 for… See the full description on the dataset page: https://huggingface.co/datasets/ECCV26-Tomato-Phenotyping/SYNTOM.

Author / organizationECCV26-Tomato-Phenotyping
License (as declared)cc-by-4.0
Downloads176 (as reported by Hugging Face)
Likes1
Created11 August 2026
Last updated at source31 August 2026
agricultureagritechplant-phenotypingsynthetic-datatomatogreenhousecocodense-instance-segmentationunreal-engineprocedural-generationsim-to-realsam
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