Datasets:
metadata
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: objects
struct:
- name: bbox
list:
list: float64
- name: categories
list:
class_label:
names:
'0': Rice-Panicle
splits:
- name: train
num_bytes: 881058977
num_examples: 5701
download_size: 881828154
dataset_size: 881058977
- config_name: raw
features:
- name: image
dtype: image
- name: objects
struct:
- name: bbox
list:
list: float64
- name: categories
list:
class_label:
names:
'0': Rice-Panicle
splits:
- name: train
num_bytes: 334084346
num_examples: 2193
download_size: 332852237
dataset_size: 334084346
configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
data_files:
- split: train
path: raw/train-*
license: cc-by-4.0
task_categories:
- object-detection
size_categories:
- 1K<n<10K
Rice Panicle Detection
A dataset for detection of rice panicles. The dataset contains raw and augmented versions. The raw split contains 2,193 images with 40,672 bounding box annotations across 1 category.
The augmented split contains 5,701 images with 122,222 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{rashid2023comprehensive,
title={Comprehensive dataset of annotated rice panicle image from Bangladesh},
author={Rashid, Mohammad Rifat Ahmmad and Hossain, Md Shafayat and Fahim, MD and Islam, Md Shajibul and Prito, Rizvee Hassan and Sheikh, Md Shahadat Anik and Ali, Md Sawkat and Hasan, Mahamudul and Islam, Maheen and others},
journal={Data in Brief},
volume={51},
pages={109772},
year={2023},
publisher={Elsevier}
}
rashid, Mohammad Rifat Ahmmad; Hossain, Md. Shafayat; Fahim, MD; Islam:, Md. Shajibul ; E-Alindo, Tahzib; Prito, Rizvee Hassan ; Sheikh, Md. Shahadat Anik; Ali, Sawkat (2023), “Dataset of Annotated Rice Panicle Image from Bangladesh”, Mendeley Data, V4, doi: 10.17632/ndb6t28xbk.4