Datasets:
File size: 991 Bytes
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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': grape
splits:
- name: train
num_bytes: 359907663
num_examples: 126
download_size: 359916180
dataset_size: 359907663
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- object-detection
size_categories:
- n<1K
---
# Grape Detection Californiaday
A dataset for object detection of grape bunches. The dataset contains 126 images with 1,478 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@misc{GrapeDay,
author = {Plant AI and Biophysics Lab},
title = {Grape Detection 2019 Day},
year = {2019},
url = {https://github.com/plant-ai-biophysics-lab/AgML}
}
``` |