---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: float64
    - name: categories
      list:
        class_label:
          names:
            '0': b_fully_ripened
            '1': b_half_ripened
            '2': b_green
            '3': l_fully_ripened
            '4': l_half_ripened
            '5': l_green
  splits:
  - name: train
    num_bytes: 1650131341
    num_examples: 804
  download_size: 1650173728
  dataset_size: 1650131341
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Tomato Ripeness Detection

A dataset for ripeness detection of tomatoes. The dataset contains 804 images with 9,777 bounding box annotations across 6 categories.

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

## Citation

https://www.kaggle.com/datasets/nexuswho/laboro-tomato