๐Ÿฅ‡ LG-AI-Challenge 2022 1์œ„ ์†”๋ฃจ์…˜ ์ž…๋‹ˆ๋‹ค.

Overview

LG-AI-Challenge-for-Plant-Classification

Dacon์—์„œ ์ง„ํ–‰๋œ ๋†์—… ํ™˜๊ฒฝ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์ž‘๋ฌผ ๋ณ‘ํ•ด ์ง„๋‹จ AI ๊ฒฝ์ง„๋Œ€ํšŒ ์— ๋Œ€ํ•œ ์ฝ”๋“œ์ž…๋‹ˆ๋‹ค. (colab directory์— ์ฝ”๋“œ๊ฐ€ ์ž˜ ์ •๋ฆฌ ๋˜์–ด์žˆ์Šต๋‹ˆ๋‹ค.)

Requirements

  • python==3.7.12
  • albumentations==1.1.0
  • numpy==1.19.5
  • pandas==1.3.5
  • cv2==4.1.2
  • sklearn==1.0.2
  • json==2.0.9
  • torch==1.10.0+cu111
  • timm==0.5.4
  • transformers==4.16.2

Preprocessing(image)

  • Augmentations: Transpose, Flip, Rotate, RandomBrightnessContrast, Cutmix ...

Preprocessing(sequence)

  • Augmentations : ๋งŒ์•ฝ ๊ธธ์ด๊ฐ€ 500์ด์ƒ์ด๋ผ๋ฉด random์œผ๋กœ sampling(2์”ฉ)
  • MinMax Scaling

Model

  • resnext50_32x4d

Training

  • K-fold Cross Validation(k=5)
  • Use Cutmix augmentation until epoch 15
  • Save model's weight when score is highest

inference

  • K-fold Model Ensemble(Soft Voting)
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