ChristophReich1996/Yeast-in-Microstructures-Dataset
Official and maintained implementation of the dataset paper "An Instance Segmentation Dataset of Yeast Cells in Microstructures" [EMBC 2023].
This dataset provides high-resolution microscopy images of yeast cells within microstructured environments. It includes pixel-level annotations for individual yeast cells and the microstructures themselves, along with bounding box and class labels. Researchers and scientists in microbiology, bioengineering, or cell biology can use this to develop and benchmark automated cell segmentation algorithms.
No commits in the last 6 months.
Use this if you need a meticulously annotated dataset to train or validate machine learning models for segmenting individual yeast cells and their surrounding microstructures from microscopy images.
Not ideal if you are looking for a ready-to-use software solution for image analysis rather than a dataset for model development.
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Language
Python
License
MIT
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Last pushed
Feb 21, 2024
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