Welcome to EcoCraft Machine Learning

This is our Colab Notebook script for building a model to classify waste image.

Let's Get Started!

Follow the steps below, and don't miss anything:

Run on Local Computer

1. Clone this repository via the command prompt

   https://github.com/eco-craft/Machine-Learning.git
   

2. Extract EcoCraft Dataset zip file
3. Navigate to the model_new.ipynb
4. Go to terminal and type this

   pip install opencv-python numpy pandas matplotlib seaborn tensorflow scikit-learn torch
   

5. Run the code in the notebook in the specified order, don't forget to check the dataset directory.

Run on Colab

1. Copy the notebook in this link

   https://colab.research.google.com/drive/19gz5Bwl9JC1pvS5SAhil-1Bn-mNux7-R?authuser=3#scrollTo=L-IOplC8T3Zh
   

2. Download Dataset in

   https://drive.google.com/drive/folders/14rlaYzfzXGF5v1FURKLtRgN1EPWCUk9S?usp=drive_link
   

3. Upload dataset to your google drive
4. Change path to your drive
5. Run the code in the specific order

How to Test the Model?

1. Go to the last code sequence in the notebook and run it. Then, input an image from the testing folder to recognize the image.
2. Here is some images that you can try on the model

https://drive.google.com/drive/folders/19doFFzxGeuOd9I4H75Ekd9xQJqzIcZO-?usp=sharing

Dataset Classes

1. Bohlam
2. Botol Plastik
3. Garpu
4. Gelas Plastik
5. Hanger
6. Kain
7. Kaleng
8. Kardus
9. Kertas
10. Kotak susu
11. Sendok
12. Tutup Botol

Link to Dataset

EcoCraft Dataset

https://drive.google.com/drive/folders/14rlaYzfzXGF5v1FURKLtRgN1EPWCUk9S?usp=drive_link