---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: float64
    - name: categories
      list:
        class_label:
          names:
            '0': Bud
            '1': Calyx
            '2': Detached Fruit
            '3': Flower
            '4': Large green
            '5': Leaf
            '6': Ripe fruit
            '7': Small Green
            '8': Stem
            '9': Unripe fruit
  splits:
  - name: train
    num_bytes: 464798261
    num_examples: 500
  download_size: 464838971
  dataset_size: 464798261
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Ghai Strawberry Fruit Detection

A dataset for object detection of strawberries. The dataset contains 500 images with 3,466 bounding box annotations across 10 categories.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

## Citation
https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/strawberry.md