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ManisAI v1.0

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@JuneMinazuki JuneMinazuki released this 11 May 06:11
· 17 commits to main since this release

ManisAI v1.0

A Mobilenetv3 AI model that had been developed to classify six types of kuih:

  1. Kek Lapis
  2. Kuih Lapis
  3. Kuih Ubi Kayu
  4. Onde-onde
  5. Kuih Seri Muka
  6. 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