description: This is a FiftyOne dataset with 8,034 samples, converted from the official
  CropAndWeed dataset (WACV 2023) release. It contains high-resolution top-down field
  images annotated with 100 fine-grained crop/weed species-and-growth-stage classes,
  provided as 2D bounding boxes, stem keypoints, and per-pixel semantic segmentation
  masks, along with per-image environmental meta-annotations (moisture, soil, lighting,
  separability).
format: FiftyOneDataset
license: other
name: CropAndWeed
tags:
- agriculture
- crop-and-weed
- fiftyone
- fine-grained-classification
- image
- image
- image-segmentation
- image-segmentation
- keypoint-detection
- object-detection
- object-detection
- plants
- precision-agriculture