Datasets › CropAndWeed

CropAndWeed

Introduced by Daniel Steininger et al. in The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation6 Jan 2023 archive 2025-07-28

The CropAndWeed dataset is focused on the fine-grained identification of 74 relevant crop and weed species with a strong emphasis on data variability. Annotations of labeled bounding boxes, semantic masks and stem positions are provided for about 112k instances in more than 8k high-resolution images of both real-world agricultural sites and specifically cultivated outdoor plots of rare weed types. Additionally, each sample is enriched with meta-annotations regarding environmental conditions.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 10 papers for it but never published that list.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CropAndWeed

1 variant name, as the archive lists them.

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