Datasets:
metadata
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.