---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: float64
    - name: categories
      list:
        class_label:
          names:
            '0': strawberry
            '1': flower
            '2': green
            '3': large_white
            '4': pink
            '5': red
            '6': small_white
  splits:
  - name: train
    num_bytes: 11190538
    num_examples: 175
  download_size: 11199603
  dataset_size: 11190538
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Strawberry Detection 2022

A dataset for object detection of strawberries. The dataset contains 175 images with 3,319 bounding box annotations across 6 categories.

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