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. Source code, models and further documentation can be found on our GitHub page.

Data Structure

The repository provides the following subdirectories:

• images: cropped images containing all annotated plant instances
• labels: annotations corresponding to each image in YOLOv8 instance-segmentation format

Plant Species

The label IDs correspond to the original labels defined in the CropAndWeed dataset.

• 1: Maize (Zea mays)
• 7: Sugar beet (Beta vulgaris s. vulgaris)
• 13: Pea (Pisum sativum)
• 14: Zucchini (Cucurbita pepo var. gir.)
• 15: Squash (Cucurbita)
• 18: Potato (Solanum tuberosum)
• 22: Poppy (Papaver)
• 24: Common sunflower (Helianthus annuus)
• 26: Common bean (Phaseolus vulgaris)
• 27: Broad bean (Vicia faba)
• 29: Maple-leaf goosefoot (Chenopodium hybridum)
• 30: Black-bindweed (Fallopia convolvulus)
• 32: Red-root amaranth (Amaranthus retroflexus)
• 33: White goosefoot (Chenopodium album)
• 34: Thornapple (Datura stramonium)
• 38: Creeping thistle (Cirsium arvense)
• 39: Field sowthistle (Sonchus arvensis)
• 66: Redshank (Persicaria maculosa)
• 71: Cornflower (Centaurea cyanus)
• 72: Common corncockle (Agrostemma githago)
• 77: Ribwort plantain (Plantago lanceolata)
• 89: Copse bindweed (Fallopia dumetorum)
• 94: Soybean (Glycine max)

File Naming Convention

File names of images and annotations extend the image names in CropAndWeed with the row number of the extracted plant in the original object-detection annotations: <subset>-<session>-<image>-<row>

Example

• ave-0045-0011-012: subset ave, session 45, image 11, the plant was extracted from row 12 of the corresponding csv-file (object detection)

Citing

If you use the CropAndWeedAndLeaf benchmark for your research, please cite the original paper: 

Martinko, R., Steininger, D., Simon, J., Trondl, A., Blaickner, M., 2026. ReLeaf: Benchmarking Leaf Segmentation across Domains and Species. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.