https://github.com/shubhamdutta2000/bank_note_authentication_with_fast

Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.
https://github.com/shubhamdutta2000/bank_note_authentication_with_fast

classifier fastapi model nlp-machine-learning

Last synced: 3 months ago
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Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.

• Host: GitHub
• URL: https://github.com/shubhamdutta2000/bank_note_authentication_with_fast
• Owner: Shubhamdutta2000
• Created: 2021-08-10T11:56:34.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-22T11:23:45.000Z (about 2 years ago)
• Last Synced: 2023-03-06T05:35:54.794Z (almost 2 years ago)
• Topics: classifier, fastapi, model, nlp-machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 198 KB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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# FastAPI