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