
SciAugment v0.2.0 has pip installable version, channel-wise augmentation was added, and an option for all augmentations or no augmentation. Examples of how to use the tool are in README and in Google Colab notebooks. Practical examples of how to use results with YOLOv5 on scientific data can be found in the SciCount project. SciAugment aims to provide an option to create an augmented image set with similar changes in data as the imaging sensor and technique would do.
If you use this software, please cite it as below.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
