---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: int64
    - name: categories
      list:
        class_label:
          names:
            '0': apple
  splits:
  - name: train
    num_bytes: 2089382256
    num_examples: 2290
  download_size: 2134879655
  dataset_size: 2089382256
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Apple Detection Usa

A dataset for object detection of apples. The dataset contains 2,290 images with 15,439 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
@article{karkee2019apple,
title={Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall},
author={Karkee, Manoj and Bhusal, Santosh and Zhang, Qin},
year={2019}
}
```