fiftyone.yml

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