🐛 Maggot Classification Model

This repository contains a deep learning-based solution for classifying maggots into various growth stages using TensorFlow and Keras. The application aims to assist maggot farmers in identifying and categorizing maggots based on images captured through a camera.

🌟 Features

• Multi-Class Classification: Identify six maggot growth stages:
  1. larva_tahap_1
  2. larva_tahap_2
  3. larva_tahap_3
  4. maggot
  5. prapupa
  6. pupa
• Image Augmentation: Enhanced generalization with data augmentation.
• Pre-Trained Model Support: Compatible with transfer learning for higher accuracy.

🗂️ Dataset

The dataset consists of labeled images for each maggot growth stage.

📥 Download the Dataset

Click the button below to access the dataset folder on Google Drive:

🚀 Getting Started

Follow the steps below to use the notebook and replicate the model training process.

1. Clone the Repository

git clone https://github.com/your-username/maggot-classification.git
cd maggot-classification

2. Set Up Environment

Install the required Python packages:

pip install -r requirements.txt

3. Download the Dataset

Click the button above to download the dataset. Extract the contents and place them in the data/ directory as follows:

maggot-classification/
├── data/
│   ├── train/
│   │   ├── larva_tahap_1/
│   │   ├── larva_tahap_2/
│   │   ├── larva_tahap_3/
│   │   ├── maggot/
│   │   ├── prapupa/
│   │   ├── pupa/
│   ├── validation/
│       ├── larva_tahap_1/
│       ├── larva_tahap_2/
│       ├── larva_tahap_3/
│       ├── maggot/
│       ├── prapupa/
│       ├── pupa/

4. Run the Notebook

Open the Jupyter Notebook maggot_classification.ipynb Follow the steps in the notebook to:

1. Load and preprocess the dataset.
2. Train the model using your dataset.
3. Evaluate and save the trained model.