Image classification with Bilinear Model

Project Overview

I'm using bilinear model for flood detection. This project can be used as a complete guide to EDA and machine learning technique for sentence classification tasks accompanied with advice for practioners. It will cover:

• Craw data
• Preprocessing data image
• Tranfer learning with EfficientNetB4
• Building bilinear model with 2 model EfficientNetB4 +trainning with freezing base model weight +trainning with unfreezing base model weight
• compare result

Table of Contents

• Project Overview
• Problem_statement
• Requirements
• File Descriptions
• Dataset
• Acknowledgements

Problem statement

I try to improve preformance of EfficientNetB4. I using 2 EfficientNetB4 model to improve. This is called Bilinear Model.

Requirements

This project should be run with these following libraries

• numPy
• pandas
• tensorflow
• bs4
• opencv2

File Descriptions

• 2 file data:
  • devset_images_gt.csv : data contain label
  • devset_images_metadata.json : metadata file, using to crawdata
• 1 notebook

Dataset

find dataset in this link : https://www.kaggle.com/competitions/spr22-AIG201m-DPL301m

• 2 file data:
  • devset_images_gt.csv : data contain label
  • devset_images_metadata.json : metadata file, using to crawdata

find image data in https://drive.google.com/drive/folders/1CDaWl834KMQY_yfiiiG_-lLx4YDzVrof?usp=sharing

Acknowledgements

• Thanks Udacity for great project
• You can find Bilinear model in this paper: https://arxiv.org/abs/1504.07889