|
|
--- |
|
|
license: cc-by-4.0 |
|
|
dataset_info: |
|
|
features: |
|
|
- name: image_id |
|
|
dtype: int64 |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: width |
|
|
dtype: int64 |
|
|
- name: height |
|
|
dtype: int64 |
|
|
- name: objects |
|
|
struct: |
|
|
- name: id |
|
|
sequence: int64 |
|
|
- name: area |
|
|
sequence: int64 |
|
|
- name: bbox |
|
|
sequence: |
|
|
sequence: float32 |
|
|
- name: category |
|
|
sequence: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 905619617.284 |
|
|
num_examples: 2342 |
|
|
- name: test |
|
|
num_bytes: 73503583 |
|
|
num_examples: 236 |
|
|
download_size: 991825068 |
|
|
dataset_size: 979123200.284 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
task_categories: |
|
|
- object-detection |
|
|
--- |
|
|
|
|
|
|
|
|
This Dataset is created from processing the files from this GitHub repository : PlantDoc-Object-Detection-Dataset |
|
|
|
|
|
@inproceedings{10.1145/3371158.3371196, |
|
|
author = {Singh, Davinder and Jain, Naman and Jain, Pranjali and Kayal, Pratik and Kumawat, Sudhakar and Batra, Nipun}, |
|
|
title = {PlantDoc: A Dataset for Visual Plant Disease Detection}, |
|
|
year = {2020}, |
|
|
isbn = {9781450377386}, |
|
|
publisher = {Association for Computing Machinery}, |
|
|
address = {New York, NY, USA}, |
|
|
url = {https://doi.org/10.1145/3371158.3371196}, |
|
|
doi = {10.1145/3371158.3371196}, |
|
|
booktitle = {Proceedings of the 7th ACM IKDD CoDS and 25th COMAD}, |
|
|
pages = {249–253}, |
|
|
numpages = {5}, |
|
|
keywords = {Deep Learning, Object Detection, Image Classification}, |
|
|
location = {Hyderabad, India}, |
|
|
series = {CoDS COMAD 2020} |
|
|
} |
|
|
|
