File size: 944 Bytes
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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 |