---
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}
}
```