susnato/plant_disease_detection_processed

---
license: cc-by-4.0
task_categories:
- object-detection
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int64
- name: height
dtype: int64
- name: objects
struct:
- name: area
sequence: int64
- name: bbox
sequence:
sequence: int64
- name: category
sequence: int64
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: pixel_mask
sequence:
sequence: int64
- name: labels
struct:
- name: area
sequence: float32
- name: boxes
sequence:
sequence: float32
- name: class_labels
sequence: int64
- name: image_id
sequence: int64
- name: iscrowd
sequence: int64
- name: orig_size
sequence: int64
- name: size
sequence: int64
splits:
- name: train
num_bytes: 27853534555.06
num_examples: 2110
- name: test
num_bytes: 2810816579.0
num_examples: 214
download_size: 5331925364
dataset_size: 30664351134.06
---
This Dataset is created from processing the files from this GitHub repository : [PlantDoc-Object-Detection-Dataset](https://github.com/pratikkayal/PlantDoc-Object-Detection-Dataset/tree/master)

Citation

BibTeX:

```
@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}
}
```

原始信息汇总

数据集概述

许可证

• 该数据集遵循 CC BY 4.0 许可证。

任务类别

• 对象检测（Object Detection）

配置

• 默认配置（default）
  • 训练数据文件路径：data/train-*
  • 测试数据文件路径：data/test-*

数据集信息

• 特征
  • image_id：数据类型为 int64
  • image：数据类型为 image
  • width：数据类型为 int64
  • height：数据类型为 int64
  • objects：结构体
    • area：序列类型为 int64
    • bbox：序列类型为 int64 的序列
    • category：序列类型为 int64
  • pixel_values：序列类型为 float32 的序列的序列
  • pixel_mask：序列类型为 int64 的序列
  • labels：结构体
    • area：序列类型为 float32
    • boxes：序列类型为 float32 的序列
    • class_labels：序列类型为 int64
    • image_id：序列类型为 int64
    • iscrowd：序列类型为 int64
    • orig_size：序列类型为 int64
    • size：序列类型为 int64

数据集分割

• 训练集
  • 字节数：27853534555.06
  • 样本数：2110
• 测试集
  • 字节数：2810816579.0
  • 样本数：214

数据集大小

• 下载大小：5331925364 字节
• 数据集大小：30664351134.06 字节