metadata
license: mit
tags:
- image-classification
- pytorch
- batik
- indonesian-culture
- resnet50
datasets:
- muhammadsalmanalfaridzi/Batik-Indonesia
language:
- id
BatikAI — Indonesian Batik Motif Classifier
Fine-tuned ResNet-50 on the Batik Indonesia dataset.
Labels (10 motifs)
parang, kawung, mega_mendung, truntum, sekar_jagad, ceplok, sidomukti, lereng, nitik, sogan
Usage
from inference import load_model, predict
from PIL import Image
model, device, transform, class_names, config = load_model()
img = Image.open("batik.jpg")
predictions, info = predict(img, model, device, transform, class_names)
print(predictions)
Training
- Architecture: ResNet-50 (ImageNet pretrained, fine-tuned)
- Optimizer: AdamW (lr=1e-4, weight_decay=1e-3)
- Scheduler: CosineAnnealingLR (15 epochs)
- Input size: 224×224
- Augmentation: RandomFlip, Rotation, ColorJitter, RandomPerspective