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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': Bud
'1': Calyx
'2': Detached Fruit
'3': Flower
'4': Large green
'5': Leaf
'6': Ripe fruit
'7': Small Green
'8': Stem
'9': Unripe fruit
splits:
- name: train
num_bytes: 464798261
num_examples: 500
download_size: 464838971
dataset_size: 464798261
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Ghai Strawberry Fruit Detection
A dataset for object detection of strawberries. The dataset contains 500 images with 3,466 bounding box annotations across 10 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/strawberry.md |