Datasets:

Project-AgML
/

apple_detection_spain

dataset_info:
  features:
    - name: image
      dtype: image
    - name: objects
      struct:
        - name: bbox
          list:
            list: int64
        - name: categories
          list:
            class_label:
              names:
                '0': apple
        - name: category_names
          list: string
  splits:
    - name: train
      num_bytes: 78896899
      num_examples: 967
  download_size: 78890411
  dataset_size: 78896899
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Apple Detection Spain

A dataset for object detection of apples. The dataset contains 967 images with 13,835 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{GENEMOLA2019104289,
title = {KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data},
journal = {Data in Brief},
volume = {25},
pages = {104289},
year = {2019},
issn = {2352-3409},
doi = {https://doi.org/10.1016/j.dib.2019.104289},
url = {https://www.sciencedirect.com/science/article/pii/S2352340919306432},
author = {Jordi Gené-Mola and Verónica Vilaplana and Joan R. Rosell-Polo and Josep-Ramon Morros and Javier Ruiz-Hidalgo and Eduard Gregorio}
}