Datasets:

Project-AgML
/

grape_detection_californiaday

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

@misc{GrapeDay,
author    = {Plant AI and Biophysics Lab},
title     = {Grape Detection 2019 Day},
year      = {2019},
url       = {https://github.com/plant-ai-biophysics-lab/AgML}
}