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diatom-classifier

Commit History

  1. set sdk_version in readme

    kemalbsoylu
    0a86e6b

  1. add disclaimer and ui updates

    kemalbsoylu
    f45e597

  1. add .env.example, update documentation

    kemalbsoylu
    b428760

  2. add streamlit config

    kemalbsoylu
    cb8b62c

  3. fix: sanitize PIL images to numpy arrays, add python_version to configuration block

    kemalbsoylu
    1855dca

  4. implement environment-driven model loading from Hugging Face

    kemalbsoylu
    e2a693f

  5. add requirements.txt for Hugging Face deployment

    kemalbsoylu
    a4673b4

  6. add Hugging Face Spaces configuration block

    kemalbsoylu
    5542c45

  7. add streamlit app

    kemalbsoylu
    74c7f87

  1. add comprehensive training workflow documentation

    kemalbsoylu
    317ffa1

  2. implement unified batch pipeline and clean up obsolete scripts

    kemalbsoylu
    e0350db

  3. build YOLOv8 data pipeline and configure diatom detector

    kemalbsoylu
    562cbcf

  4. train V2 model with augmented data, class weights, and update inference default

    kemalbsoylu
    41df04d

  5. add 15% margin to bounding box crops to prevent clipping

    kemalbsoylu
    5319cf6

  1. add CLI inference script with lazy loading and usage documentation

    kemalbsoylu
    959432c

  1. train baseline resnet18 achieving 91% accuracy

    kemalbsoylu
    754f988

  2. Add MIT License to the project

    kemalbsoylu
    Unverified signature
    42389dc

  3. initial project setup and data extraction script

    kemalbsoylu
    490c4a2