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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.
Offers an option to perform optimization of the model with TensorRT for the specific graphics card, which makes the inference fasterThe 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.
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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