testint

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AI-based decision making is starting to take place in many areas of our lives, but can we trust these decisions? AI models tend to fail when facing unexpected inputs, which leads to vital consequences. But, why don't we add dozens of different scenarios in our data set? 1)Collecting diverse data requires lots of time and effort. 2)Not every condition is technically feasible for gathering data, e.g., heavy rain, snow. Testint provides a compact platform for image augmentation and AI testing.

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Problem

AI models produce incorrect outcomes when facing unexpected inputs. In safety-critical areas this can lead to vital consequences. AI models need to be tested comprehensively on diverse data. However, collecting diverse data requires huge effort and time. We provide a compact and quick platform for image augmentation and AI testing.

Solution

TESTINT's image generation feature enables generating new images with 20+ methods by creating challenging conditions synthetically, and simulating malicious attacks. Test options provide detailed data/bias and model analysis to capture potential weaknesses of AI models. We provide a web-based platform to customers in which they can easily augment their data and test their AI models in a matter of minutes.

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