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ReLeaf Dataset

Dataset

Description

CropAndWeedandLeaf is a dataset to benchmark leaf-segmentation models across multiple plant species, as described in the corresponding ReLeaf paper, presented at the Agriculture-Vision Workshop at CVPR 2026. The dataset is based on images from the CropAndWeed dataset, which are cropped to individual plant instances and enhanced with instance-segmentation masks for individual leaves.
Date made available28 Jun 2026
Date of data production2026

Research Field

  • Assistive and Autonomous Systems

Contact person

  • 1 Conference Proceedings with Poster Presentation

  • ReLeaf: Benchmarking Leaf Segmentation across Domains and Species

    Martinko, R., Steininger, D., Simon, J., Trondl, A. & Blaickner, M., 28 May 2026, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

    Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review

    Open Access

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