---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: mask
    dtype: image
  splits:
  - name: train
    num_bytes: 97160662
    num_examples: 1542
  download_size: 95358056
  dataset_size: 97160662
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- image-segmentation
size_categories:
- 1K<n<10K
---
# Growliflower Caluiflower Segmentation

A dataset for semantic segmentation of cauliflower. The dataset contains 1,542 images with pixel-level mask annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

## Citation

Kierdorf, Jana & Junker-Frohn, Laura & Delaney, Mike & Olave, Mariele & Burkart, Andreas & Jaenicke, Hannah & Muller, Onno & Roscher, Ribana. (2022). GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER. Journal of Field Robotics. 40. 10.1002/rob.22122. 

https://phenoroam.phenorob.de/geonetwork/srv/eng/catalog.search#/metadata/cb328232-31f5-4b84-a929-8e1ee551d66a