metadata
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.