SIGNATE Competition: ひろしまQuest2020：画像データを使ったレモンの外観分類 (Hiroshima Quest2020: Lemon quality classification using image data)

Goal

Classify images of Hiroshima lemons according to quality

Metric	Value
Top-1 accuracy	0.95
Top-2 accuracy	1.0

Creation of archives, PyTorch model training and evaluation

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
images		images
Create archieve.ipynb		Create archieve.ipynb
Create mask archieve.ipynb		Create mask archieve.ipynb
Create random ImageNet archive.ipynb		Create random ImageNet archive.ipynb
Evaluate LemonNet.ipynb		Evaluate LemonNet.ipynb
Evaluate MaskNet.ipynb		Evaluate MaskNet.ipynb
LICENSE		LICENSE
README.md		README.md
Train LemonNet.ipynb		Train LemonNet.ipynb
Train MaskNet.ipynb		Train MaskNet.ipynb