---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: float64
    - name: categories
      list:
        class_label:
          names:
            '0': Canopy
            '1': Crown
            '2': crop
  splits:
  - name: train
    num_bytes: 385632241
    num_examples: 500
  download_size: 385639627
  dataset_size: 385632241
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Ghai Broccoli Detection

A dataset for object detection of broccoli. The dataset contains 500 images with 13,303 bounding box annotations across 2 categories.

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

## Citation

https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/broccoli.md