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fiftyone.yml
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app_media_fields:
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- filepath
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- thumbnail_path
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description: 'PhenoBench is a large UAV image dataset for semantic image interpretation
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in agriculture, focusing on sugar beet crops and weeds. Published in IEEE T-PAMI
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2024. This release includes train/val/test splits with semantic segmentation masks
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(background, crop, weed, partial-crop, partial-weed), plant and leaf instance segmentation,
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and plant/leaf visibility heatmaps. Source: https://www.phenobench.org/'
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format: FiftyOneDataset
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grid_media_field: thumbnail_path
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license: cc-by-sa-4.0
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name: PhenoBench-bak
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tags:
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- agriculture
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- agtech
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- crops
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- demo
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- drone
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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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- object-detection
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- phenotyping
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- semantic-segmentation
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- sugar-beet
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- uav
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- weeds
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