| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': '2' |
| '1': '3' |
| '2': '4' |
| '3': '5' |
| - name: image_source |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 48420852 |
| num_examples: 2785 |
| download_size: 75551129 |
| dataset_size: 48420852 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Paddynet Lcc Classification |
|
|
| This dataset features field images of paddy crops collected across multiple locations in Bangladesh during the rice growing season (mid-April to late June). Images were captured using handheld RGB cameras on consumer smartphones (Nokia 3 and Samsung S8) and include a mix of real field observations and synthetic augmentations. The dataset contains 2,785 images across 4 classes: 2, 3, 4, 5. |
| Images per class: |
| - 2: 692 |
| - 3: 1,103 |
| - 4: 513 |
| - 5: 477 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{siddique2023paddynet, |
| title={Paddynet: An organized dataset of paddy leaves for a smart fertilizer recommendation system}, |
| author={Siddique, Md. Moradul and Islam, Torikul and Tusher, Yeasir Arefin and Ema, Romana Rahman and Adnan, Md. Nasim and Galib, Syed Md.}, |
| journal={Data in Brief}, |
| volume={50}, |
| pages={109516}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Siddique, Md Moradul; Islam, Torikul; Tusher, Yeasir Arefin ; Md. Galib, Syed (2023), “PaddyNet: An Organized Dataset of Paddy Leaves for a Smart Fertilizer Recommendation System ”, Mendeley Data, V2, doi: 10.17632/ksz57tk5vc.2 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
|
|
