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computer vision model - xception model for classifiying kitchen utensils

Project description

KITCHEN WARE CLASSIFICATION

A machine learning program that classifies correctly kitchen utensils within the kitchen using machine aided assistance(computer vision) for a disabled/non disabled entity. This program uses a neural network algorithm to detect kitchen utensils.

Data set and its description

Data Description
Image the image object(jpg format)
Label class of the image (glass, cup, spoon, plate, knife, fork)

Dependencies and packages

  1. numpy>=1.20.0,<1.21.0
  2. python = 3.10
  3. pandas = 2.2.2
  4. scikit-learn = 1.4.2
  5. pydantic = 2.7.0
  6. strictyaml = 1.7.3
  7. tensorflow = 2.16.1
  8. scikeras = 0.13.0
  9. tensorflow-datasets = 4.9.4
  10. pillow = 10.3.0
  11. pydantic-settings = 2.2.1
  12. fastapi = 0.110.3
  13. uvicorn = 0.29.0
  14. loguru = 0.7.2
  15. python-multipart = 0.0.9

Source code link

Source code link: Github link

Python index package: Pypi link

Project details


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kitchenware_model_package-0.0.4.tar.gz (83.1 MB view hashes)

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kitchenware_model_package-0.0.4-py3-none-any.whl (83.1 MB view hashes)

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