---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: int64
    - name: categories
      list:
        class_label:
          names:
            '0': mango
  splits:
  - name: train
    num_bytes: 78222025
    num_examples: 1242
  download_size: 77966427
  dataset_size: 78222025
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Mango Detection Australia

A dataset for object detection of mangoes. The dataset contains 1,242 images with 10,619 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{Koirala2019,
author={Koirala, Anand and Walsh, Kerry and Wang, Z. and McCarthy, C.},
title={MangoYOLO data set},
year={2019},
month={2021},
day={10-19},
publisher={Central Queensland University},
url={https://figshare.com/articles/dataset/MangoYOLO_data_set/13450661, https://researchdata.edu.au/mangoyolo-set}
}
```