lg-ai-challenge-for-plant-classification's Introduction

LG-AI-Challenge-for-Plant-Classification

Dacon에서 진행된 농업 환경 변화에 따른 작물 병해 진단 AI 경진대회 에 대한 코드입니다. (colab directory에 코드가 잘 정리 되어있습니다.)

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 : 만약 길이가 500이상이라면 random으로 sampling(2씩)
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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jaeyoung011 / lg-ai-challenge-for-plant-classification Goto Github PK