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Detects a wide range of defects, however can suffer from a higher amount of false positives (good parts evaluated as bad by the software).
Training time is reduced, with bigger & less options of view-finder sizes.
The model can optionally be optimized using Tensor RT for the specific GPU used when you check the TRT switch in model list. The optimisation improves inference times when processing images using this model. The model is optimized for specific GPU, so if you transfer the project to a PC with different type of GPU, the optimisation needs to be done again for the new graphics card.
This type does not require large datasets, however, performance on highly variable patterns may be more suitable for the Precise option.
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