This repository was archived by the owner on Nov 22, 2025. It is now read-only.
ManisAI v1.1
ManisAI v1.1
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 model:
✅ Overall Accuracy: 0.2832
📊 Per-class metrics:
| Class | Precision | Recall | F1 |
|---|---|---|---|
| Kek Lapis | 0.1053 | 0.0208 | 0.0348 |
| Kuih Lapis | 0.0612 | 0.0588 | 0.0600 |
| Kuih Seri Muka | 0.0000 | 0.0000 | 0.0000 |
| Kuih Talam | 0.2569 | 0.7327 | 0.3805 |
| Kuih Ubi Kayu | 0.3168 | 0.3232 | 0.3200 |
| Onde-onde | 0.1333 | 0.0200 | 0.0348 |
🎯 ROC AUC per class:
| Class | AUC |
|---|---|
| Kek Lapis | 0.5613 |
| Kuih Lapis | 0.5283 |
| Kuih Seri Muka | 0.3986 |
| Kuih Talam | 0.6559 |
| Kuih Ubi Kayu | 0.6183 |
| Onde-onde | 0.3686 |
📦 Macro Metrics:
| Marco Precision | 0.1456 |
| Macro Recall | 0.1926 |
| Macro F1 | 0.1383 |
| Macro AUC | 0.4125 |