SESOVERA-ST-saline-bottle-fill-level-monitoring:empty_50%fill
Published: 8 October 2020| Version 2 | DOI: 10.17632/9mcj3rvvxb.2
Contributors:
Luca Simonetta, Description
The dataset is composed of images of saline bottles solution divided into 2 classes: empty bottles, 50 % fill level bottles. It can be used to train model for saline bottle fill level classification. The ipynb file provided with the dataset proposes a pipeline aimed at manipulating and augmenting the dataset. The txt file allows labeling the dataset images by directory following the pipeline proposed in the ipynb file.
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Categories
Computer Science, Applied Computer Science