Data Augmentation em Python

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<p>Data augmentation</p><p>https://arxiv.org/pdf/2401.15422</p><p>https://arxiv.org/pdf/2405.09591</p><p>= = = = = = = = = =</p><p>Links com data augmentation com fontes em python:</p><p>https://www.geeksforgeeks.org/python-data-augmentation/</p><p>https://github.com/PacktPublishing/Data-Augmentation-with-Python (Livro completo)</p><p>https://github.com/MizanurRahmann/Image-Processing-In-Python/blob/master/Chapter-2%20%5BFilters</p><p>%2C%20Contrast%2C%20Transformation%20and%20Morphology%5D.ipynb</p><p>https://medium.com/@flippygarcia/image-filters-and-morphological-operations-using-python-89c5bbb8dca0</p><p>https://medium.com/swlh/image-processing-with-python-morphological-operations-26b7006c0359</p><p>https://goodboychan.github.io/python/datacamp/vision/2020/08/02/01-Filters-Contrast-Transformation-and-</p><p>Morphology.html</p><p>https://scikit-image.org/docs/stable/api/skimage.filters.html</p><p>https://medium.com/analytics-vidhya/image-equalization-contrast-enhancing-in-python-82600d3b371c</p><p>Alguns filtros bem interessantes também: Gausiano (não exagere nos rádios, 4 no máximo), Média,</p><p>Mediano, Laplaciano, Wiener, Fourier, Deconvolução.</p><p>= = = = =</p><p>A Ideia do Data Augmentation é aumentar a precisão e variabilidade do modelo em reconhecer padrões,</p><p>evitando o overfiting. Portanto, façam dessa forma:</p><p>Apliquem na fase de TREINAMENTO (Não em validação ou teste), em 30% das imagens (Na base de</p><p>treinamento, novamente), lembrando que, NÃO modifiquem o teste do autor, mantenham o padrão 80% /</p><p>12% / 8% .</p><p>Testem com 30 epocas, como o autor, observem o hardware de vocês, mas seria interessante utilizar o colab</p><p>(configuração por default). Caso, 30 seja pouco, aumentem e anotem na apresentação.</p><p>https://figshare.com/articles/dataset/The_dataset/22363012</p><p>https://www.nature.com/articles/s41597-023-02432-4</p><p>https://github.com/XLR8-07/FracAtlas</p><p>Tanto a segmentação quanto a detecção, podem mudar a arquitetura (se desejarem), o autor usou YOLO v8.</p><p>https://arxiv.org/pdf/2401.15422</p><p>https://github.com/XLR8-07/FracAtlas</p><p>https://www.nature.com/articles/s41597-023-02432-4</p><p>https://figshare.com/articles/dataset/The_dataset/22363012</p><p>https://github.com/MizanurRahmann/Image-Processing-In-Python/blob/master/Chapter-2%20%5BFilters%2C%20Contrast%2C%20Transformation%20and%20Morphology%5D.ipynb</p><p>https://github.com/MizanurRahmann/Image-Processing-In-Python/blob/master/Chapter-2%20%5BFilters%2C%20Contrast%2C%20Transformation%20and%20Morphology%5D.ipynb</p><p>https://medium.com/analytics-vidhya/image-equalization-contrast-enhancing-in-python-82600d3b371c</p><p>https://scikit-image.org/docs/stable/api/skimage.filters.html</p><p>https://goodboychan.github.io/python/datacamp/vision/2020/08/02/01-Filters-Contrast-Transformation-and-Morphology.html</p><p>https://goodboychan.github.io/python/datacamp/vision/2020/08/02/01-Filters-Contrast-Transformation-and-Morphology.html</p><p>https://medium.com/swlh/image-processing-with-python-morphological-operations-26b7006c0359</p><p>https://medium.com/@flippygarcia/image-filters-and-morphological-operations-using-python-89c5bbb8dca0</p><p>https://github.com/PacktPublishing/Data-Augmentation-with-Python</p><p>https://www.geeksforgeeks.org/python-data-augmentation/</p><p>https://arxiv.org/pdf/2405.09591</p>