https://github.com/gregoritsch3/dl_cv_e2e_potatodiseaseclassification

A guided CodeBasics Deep Learning Project where a Convolutional Model is deployed onto a Website (FastAPI) and Mobile App (React Native, Google Cloud). Its purpose is the classification of potato plant images into "healthy", "Early Blight" and "Late Blight" categories.
https://github.com/gregoritsch3/dl_cv_e2e_potatodiseaseclassification

cnn-classification gcp model-deployment scikit-learn tensorflow

Last synced: about 1 month ago
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A guided CodeBasics Deep Learning Project where a Convolutional Model is deployed onto a Website (FastAPI) and Mobile App (React Native, Google Cloud). Its purpose is the classification of potato plant images into "healthy", "Early Blight" and "Late Blight" categories.

• Host: GitHub
• URL: https://github.com/gregoritsch3/dl_cv_e2e_potatodiseaseclassification
• Owner: Gregoritsch3
• Created: 2025-01-22T12:30:59.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-02-20T17:53:06.000Z (3 months ago)
• Last Synced: 2025-03-27T06:16:14.417Z (about 1 month ago)
• Topics: cnn-classification, gcp, model-deployment, scikit-learn, tensorflow
• Language: Jupyter Notebook
• Homepage: https://github.com/codebasics/potato-disease-classification/
• Size: 11.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# DL_CV_E2E_PotatoDiseaseClassification

A guided CodeBasics Deep Learning Project where a Convolutional Model is deployed onto a Website (FastAPI) and Mobile App (React Native, Google Cloud). It's purpose is the classification of potato plan images into healthy, early blight and late blight categories.

Directories `data`, `frontend`, `gcp`, `mobile-app` are not pushed due to memory limitations on the regular GitHub service.