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