AKIDA benchmarking?, page-142

there is performance data in the model zoo. they have provided a range of well known deep learning and machine learning models (egMNIST) and done a with AKIDA and without AKIDA comparison.

the interesting point is that but every problem is solved better by AKIDA, some outcomes are worse. but that is to be expected. AKIDA performs better in the fuzzy pattern type problem than high accuracy numeric ones. for some it's a margin call.

the other issue to be aware of is that AKIDA may not be used as a standalone solution. as in all data work, applying a specific tool to a specific issue and having high efficiency in a narrow range of outcomes is preferable to trying to distill huge volumes of data.

in one of the other threads there was a query about whether AKIDA could manage 4K images. reality is that it's a waste of resources. use tools to quickly strip a 4K image to the relevant components (filter or decompose)and feed those into the critical AI tool.