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fiftyone.yml
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description: PhenoBench is a large-scale dataset for semantic image interpretation
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in the agricultural domain. It provides 2,872 high-resolution UAV images (1024x1024)
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of a real sugar beet field at three growth stages, with dense pixel-wise semantic
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segmentation (background/crop/weed/partial-crop/partial-weed), plant-level instance
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segmentation, and crop leaf-level instance segmentation, each with a per-instance
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visibility score. The test split is held out (unlabeled) for the official PhenoBench
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benchmark server.
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format: FiftyOneDataset
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license: cc-by-sa-4.0
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name: PhenoBench
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tags:
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- aerial
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- agriculture
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- fiftyone
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- image
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- image-segmentation
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- instance-segmentation
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- leaf-segmentation
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- object-detection
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- panoptic-segmentation
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- plant-phenotyping
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- precision-agriculture
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- semantic-segmentation
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- sugar-beet
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- uav
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- weed-detection
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