Datasets:

Project-AgML
/

apple_detection_usa

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

@article{karkee2019apple,
title={Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall},
author={Karkee, Manoj and Bhusal, Santosh and Zhang, Qin},
year={2019}
}