https://github.com/gdmcdonald/google-automl-vision-predict
Jupyter notebook for classifying a folder of images using google auto-ml vision
https://github.com/gdmcdonald/google-automl-vision-predict
google-cloud python python3 vision-api
Last synced: about 2 months ago
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Jupyter notebook for classifying a folder of images using google auto-ml vision
- Host: GitHub
- URL: https://github.com/gdmcdonald/google-automl-vision-predict
- Owner: gdmcdonald
- Created: 2019-03-01T07:47:36.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-01T09:26:53.000Z (over 7 years ago)
- Last Synced: 2025-05-31T05:45:04.490Z (about 1 year ago)
- Topics: google-cloud, python, python3, vision-api
- Language: Jupyter Notebook
- Size: 8.79 KB
- Stars: 1
- Watchers: 0
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# google-automl-vision-predict
Generic Jupyter notebook for classifying a folder of images using google auto-ml vision
1. Set up and train a model with Google Cloud Auto-ML Vision here:
https://cloud.google.com/vision/
2. Set up a Service account and download the authentication .json
3. Predict the category of each image in a folder of images using the jupyter notebook here, after you change the filenames/directory names appropriately. The categorised images will be copied into a new folder structure reflecting their category.