Classification of waste types with Machine Learning using MobileNet V2 model on embedded system, Sipeed Maix Go board. In this research project, we tried to create a datasets for the trash classification from scratch and train the model with our datasets. We use MaixHub from Sipeed to train the model for our board.
- Datasets that we use https://www.kaggle.com/datasets/mhazhary/trashify-image-dataset
- Reference for training the model using MaixHub https://www.youtube.com/watch?v=6sLOZK-DOEc
| Name | Student ID | Profile Link |
|---|---|---|
| M. Hanif Azhary | 175060300111043 | [LinkedIn] [GitHub] |
| Dandy Fajar Mahendra | 175060301111045 | [LinkedIn] [GitHub] |
| Delia Dwi Novrianti | 185060301111002 | [LinkedIn] |
| Monifa Arini | 185060301111016 | [LinkedIn] [GitHub] |
| Fatchur Rozi Al-Fitrah | 185060300111048 | [LinkedIn] |
.smodel file cannot be used for other Sipeed Maix Go boards temporarily since it is encrypted from MaixHub.