�UpstageAI - cv classification

Team

정다슬	김준호	송현지	김채원	엄효범
팀장, 모델링	모델링	모델링	모델링	모델링

1. Competiton Info

Overview

• 다양한 종류의 문서 이미지의 클래스 예측

Timeline

• ex) February 5, 2024 - Start Date
• ex) February 19, 2024 - Final submission deadline

Evaluation

• Macro F1 score

2. Components

Directory

├── code
│   ├── jupyter_notebooks
│   │   └── model_train.ipynb
│   └── train.py
├── docs
│   ├── pdf
│   │   └── [패스트캠퍼스] Upstage AI Lab 1기_경진대회 발표자료_CV_6조.pptx
└── input
    └── data
        ├── meta.csv
        ├── sample_submission.csv
        ├── test
            └── ...
        ├── train
            └── ...
        └── train.csv

3. Data descrption

Dataset overview

• Explain using data

EDA

• Describe your EDA process and step-by-step conclusion

Data Processing

• Describe data processing process (e.g. Data Labeling, Data Cleaning..)

4. Modeling

Model descrition

• Write model information and why your select this model

Modeling Process

• Write model train and test process with capture

5. Result

Leader Board

• Insert Leader Board Capture
• Write rank and score

Presentation

• Insert your presentaion file(pdf) link

etc

Meeting Log

• Insert your meeting log link like Notion or Google Docs

Reference

• Insert related reference