Hierarchical image classification model for fashion commerce items based on EfficientNet-b4 and LCPN (Local Classifier per Parent Node) technique.

• Hand-crafted a dataset of CH*NEL products using selenium (35 classes, 26693 images)

• Implemented hierarchical image classification model for CH*NEL products in PyTorch.

• Combined EfficientNet and Local Classifier per Parent Node technique to achieve 85.2% accuracy; 19.2% improvement from previous flat-classification model

• StacksPyTorch, Pandas, Selenium
• InspirationDeep Hierarchical Classification for Category Prediction in E-commerce System

Local classifier per parent node: training one multi-class classifier for each parent node, to distinguish between its child nodes.