This repository was archived by the owner on Nov 22, 2025. It is now read-only.
ManisAI v1.0
ManisAI v1.0
A Mobilenetv3 AI model that had been developed to classify six types of kuih:
- Kek Lapis
- Kuih Lapis
- Kuih Ubi Kayu
- Onde-onde
- Kuih Seri Muka
- Kuih Talam
This model was trained using a dataset of over 3500 images sourced from the internet, user-submitted photos, and a kuih dataset from Kaggle, and it is trained under Google Colab Notebok's T4 GPU for 2 hours 41 minutes.
Report of the newest model:
✅ Overall Accuracy: 0.2808
📊 Per-class metrics:
| Class | Precision | Recall | F1 |
|---|---|---|---|
| Kek Lapis | 0.1987 | 0.3125 | 0.2429 |
| Kuih Lapis | 0.0000 | 0.0659 | 0.1127 |
| Kuih Seri Muka | 0.0000 | 0.0000 | 0.0000 |
| Kuih Talam | 0.0000 | 0.0000 | 0.0000 |
| Kuih Ubi Kayu | 0.1708 | 0.7677 | 0.2794 |
| Onde-onde | 0.9592 | 0.2883 | 0.4434 |
📦 Macro Metrics:
| Marco Precision | 0.2860 |
| Macro Recall | 0.2391 |
| Macro F1 | 0.1797 |
🎯 ROC AUC per class:
| Class | AUC |
|---|---|
| Kek Lapis | 0.6803 |
| Kuih Lapis | 0.6815 |
| Kuih Seri Muka | 0.5940 |
| Kuih Talam | 0.7225 |
| Kuih Ubi Kayu | 0.6219 |
| Onde-onde | 0.4397 |