README.md

README.md

@@ -1,3 +1,105 @@
----
-license: cc-by-nc-sa-4.0
----
+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+base_model:
+- google/mobilenet_v2_1.0_224
+pipeline_tag: image-classification
+library_name: keras
+tags:
+- Convolution-Neural-Network
+- Agriculture
+- Deep-Learning
+- Lemons
+---
+# Lemon Disease Detector
+
+[![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+
+## Overview
+
+This is Bi-Model Deep Learning Architecture that uses 2 Convolutional Neural Networks to detect the if a lemon leaf is healthy or is diseased.
+
+1. **Binary Classification**: Determines if the leaf is from a Lemon tree.
+2. **Multi-Class Classification**: If it does, this model predicts whether the leaf is healthy or affected by one or more diseases.
+
+The models are trained using *Transfer Learning* from **MobileNetV2**, pretrained on ImageNet.
+
+---
+
+## Use Cases
+
+- Early disease detection in agriculture
+- Educational applications in plant pathology
+- Research and experimentation (non-commercial)
+
+> **Not suitable for real-world diagnostics without domain expert validation.**
+
+---
+
+## Architecture
+
+### Binary Model
+- **Base**: MobileNetV2
+- **Input**: 224x224 RGB leaf image
+- **Output**: Binary classification (Target species or not)
+
+### Multi-Class Classifier
+- **Base**: MobileNetV2
+- **Input**: 224x224 RGB leaf image (if species matched)
+- **Output**: Multi-label classification (Healthy or 1+ diseases)
+
+---
+
+## Performance
+
+| Metric         | Binary Model  | Multi-Class Model |
+|----------------|---------------|-------------------|
+| Accuracy       | 1.00          | 0.96              |
+| Precision      | 1.00          | 0.95              |
+| Recall         | 1.00          | 0.95              |
+| F1 Score       | 0.99          | 0.95              |
+
+---
+
+## Datasets Used
+
+- **[Lemon Leaf Disease Dataset](https://www.kaggle.com/datasets/mahmoudshaheen1134/lemon-leaf-disease-dataset-lldd)**: — Licensed under **CC0 Public Domain**
+- **[PlantVillage Dataset](https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset)**: — Licensed under **CC BY-NC-SA 4.0**
+- **[Natural Images Dataset](https://www.kaggle.com/datasets/prasunroy/natural-images)**: — Licensed under **CC BY-NC-SA 4.0**
+
+**Lemon Leaf Disease Dataset** was used to train both models, and images from **PlantVillage Dataset** and **Natural Images Dataset** were used as negatives for training the **Binary Model**.
+
+---
+
+## License
+
+This project is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)** license, due to the inclusion of CC BY-NC-SA 4.0-licensed datasets.
+
+You may:
+- Use and share the model for non-commercial purposes
+- Modify it and publish derivatives under the same license
+- Must give proper attribution to the original data providers
+
+---
+
+## Author
+Muhammad Ishaque Junejo
+- GitHub: @IshaqJunejo
+- LinkedIn: [Ishaque Junejo](https://www.linkedin.com/in/ishaque-junejo/)
+- Mail: [Ishaque Junejo](mailto:[email protected])
+
+---
+
+## Acknowledgement
+
+Creators of **MobileNetV2**
+Dataset Providers:
+- Lemon-Leaf-Disease-Dataset
+- PlantVillage Dataset
+- Natural Images