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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
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