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This zip file contains a collection of 244 x 244 images of various gram-stained bacteria strains, cropped from the diBas dataset (Bartosz Zieli ́nski et al. 2017). Each folder is named by the species of the bacteria images it contains. Potential uses for the dataset include machine learning. An example neural network for bacteria classification using this dataset is deployed at https://huggingface.co/spaces/qile0317/Bacteria-Classification Note that the data is not completely optimized, as it contains trace amounts of almost blank images.
To further improve viability in machine learning applications, a future version will be implemented to incorporate varying degrees of tint (warmth), size, and warping of the images. Of course, image augmentation of the original data via basic image manipulation code is also possible.
{"references": ["Bartosz Zieli \u0301nski et al. \"Deep learning approach to bacterial colony classification\". In: PloS One 12.9 (2017), e0184554"]}
machine learning, gram stain, bacteria, computer vision
machine learning, gram stain, bacteria, computer vision
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