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Model 3.1 Release π¨ π π β‘ π§ #44
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- β¬οΈ Upgraded to using a larger dataset of 52,379 images across 28 categories to improve model training and accuracy. - π Added and removed k-fold splits to optimize dataset utilization and model evaluation. - π Changed model naming to better reflect the updates in version 3.1. - π Continued simplification of dataset loading methods for increased efficiency. - πΌοΈ Adjusted image processing to use 256x256 resolution, reducing storage and memory usage. - π Implemented resizing before saving images to further conserve storage. - π οΈ Fixed and improved image augmentation for better dataset balancing. - βοΈ Adjusted hyperparameters, added class weights, and optimized augmentation settings. - π§ Updated system configurations, integrating advanced model architectures like ResNet50 and setting mixed precision policies. - π Streamlined UI and data handling for more efficient training processes and model evaluations. - π Enhanced stratified k-fold integration with oversampling for balanced training. - π Fixed various bugs across the system and removed outdated class weight calculations. - π¨ Expanded prediction capabilities to handle multiple categories and refined the codebase for peak performance. - π Updated README and related documentation to enhance clarity and provide a detailed project roadmap.
# Conflicts: # setup.py # skinvestigatorai/services/feature_extraction_service.py # skinvestigatorai/templates/evaluate.jinja2 # skinvestigatorai/views/predict_view.py
β¦ions, add hparam tuner, and update frontend - π¨ Change the style of the buttons so they don't overlap each other and other elements. - π Rename project to LesNet (Lesion Net). - π Remove bad augmentations that affect training data. - β‘ π§ Add hyperparameter tuner (experiments). - π¨ Update frontend with a new look and feel. - β‘ π§ Update batch size and learning rate configurations, add data augmenter and improve inference. Changes include: Β - Setting batch size to 256. Β - Updating starting learning rates to 0.001. Β - Adding a data augmenter that does not require downloading all images. Β - Making inference and label improvements. Β - Introducing a new model quantize command. Β - Directory cleanup. Β - adjusting learning rate cooldown to 5 and lr patience to 7 and early stopping to 42 - more aggressive training
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Jun 3, 2024
Your Render PR Server URL is https://skinvestigator-pr-44.onrender.com. Follow its progress at https://dashboard.render.com/web/srv-cpf514m74orc73a56t90. |
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π¨ π π β‘ π§ Update styles, rename project, remove bad augmentations, add hparam tuner, and update frontend
π¨ Change the style of the buttons so they don't overlap each other and other elements.
π Rename project to LesNet (Lesion Net).
π Remove bad augmentations that affect training data.
β‘ π§ Add hyperparameter tuner (experiments).
π¨ Update frontend with a new look and feel.
β‘ π§ Update batch size and learning rate configurations, add data augmenter and improve inference. Changes include: