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Freshness_Banana_Orange_Apple_Image-Classification
NararyaPutra/Freshness_Banana_Orange_Apple_Image-Classification
Freshness_Banana_Orange_Apple_Image-Classification is a image classification model from NararyaPutra. Use it when you need a label for an image. It is set up for pytorch. The card lists the license as apache-2.0.
Model ini adalah hasil fine-tuning dari MobileNetV3-Large (pretrained ImageNet) untuk klasifikasi kualitas / kondisi buah pisang, jeruk dan apel (fresh atau rotten) menggunakan dataset kustom.
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Public
Updated Nov 26, 2025
Repo size
17 MB
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At a glance
- Task
- Image Classification
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- Nov 26, 2025
- Updated
- Nov 26, 2025
- SHA
- 31534dd9
Base models
Datasets
Model card
From the Hugging Face model README
Fruit Quality Classifier (MobileNetV3-Large)
Model ini adalah hasil fine-tuning dari MobileNetV3-Large (pretrained ImageNet) untuk klasifikasi kualitas / kondisi buah pisang, jeruk dan apel (fresh atau rotten) menggunakan dataset kustom.
Ringkasan
- Arsitektur: MobileNetV3-Large (torchvision)
- Jumlah kelas: 6 (['freshapples', 'freshbanana', 'freshoranges', 'rottenapples', 'rottenbanana', 'rottenoranges'])
- Input: gambar RGB, ukuran 224×224
- Preprocessing: Resize → ToTensor → Normalize (mean=[0.485,0.456,0.406], std=[0.229,0.224,0.225])
- Augmentasi (saat training): RandomHorizontalFlip, RandomRotation, RandomColorJitter, RandomPerspective, Dropout pada classifier
Hyperparameter
| Parameter | Nilai |
|---|---|
| Model Backbone | MobileNetV3-Large (IMAGENET1K_V1 pretrained) |
| Optimizer | Adam |
| Learning Rate | 1e-4 |
| Weight Decay | 1e-5 |
| Loss Function | CrossEntropyLoss |
| Epochs | 10 |
| Batch Size | 32 |
Hasil Evaluasi
Akurasi = 95% Loss = 0,169
- Task
- Image Classification
- Library
- pytorch
- License
- apache-2.0
- Created
- Nov 26, 2025
- Updated
- Nov 26, 2025