TESTINT
Why Choose TESTINT?
You should choose this if your work revolves around deep learning and computer vision, especially with street-view or aerial images. TestINT makes it super easy to create tough test scenarios with a wide range of image augmentations, saving you time and money while making your AI models more reliable and battle-tested.
TestINT (testINT.ai) What is TestINT? TestINT is a “Data Augmentation and Testing” platform to make systems that utilize “Deep Learning” techniques more reliable. TestINT provides a compact platform for image augmentation & AI testing to help identify AI’s weaknesses. TestINT is specialized for computer vision problems, specifically for street-view and aerial images. What TestINT does… By applying basic and advanced transformations on your labeled dataset that you use for training and testing, you can replicate your dataset to include situations that are difficult/highly costly to obtain in real life. Thus, you will have a larger, richer and differentiated data set that you can use for testing. Augmentation Features of TestINT: The image augmentation feature of TestINT enables diversifying test data sets through a broad range of image augmentation options in a matter of minutes. Although new features are continually added, some of the highlights of TestINT are: * TestINT generates new data by applying weather transformations (adding rain, snow, fog), * Day-to-night image transformation, * Object placement (car and pedestrian), * Basic input corruptions (rotation, blurring, contrast, brightness), and * Adversarial attacks. TestINT creates challenging conditions synthetically and helps users save time, effort, and money. How does TestINT support testing? TESTINT’s testing ability enables creating test scenarios by choosing from a variety of model performance and test adequacy metrics. In the end, TestINT prepares insightful test reports for users to identify potential risks of their models. Other Features? Our platform is the first no-code platform that proposes a thorough testing solution for AI-based vision models. TestINT includes 20 augmentation methods for aerial and street-view camera images. TestINT is the only platform with such a broad catalog of image augmentation techniques. Why should Deep Learning System Developers use TestINT? TestINT lets Deep Learning systems’ developers focus on their core Use Case and model, letting TestINT provide the dataset to handle different situations. With TestINT, end-products reach the customer better tested, with corner cases handled more comprehensively and more reliably.
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TESTINT Introduction
What is TESTINT?
TestINT (testINT.ai) What is TestINT? TestINT is a “Data Augmentation and Testing” platform to make systems that utilize “Deep Learning” techniques more reliable. TestINT provides a compact platform for image augmentation & AI testing to help identify AI’s weaknesses. TestINT is specialized for computer vision problems, specifically for street-view and aerial images. What TestINT does… By applying basic and advanced transformations on your labeled dataset that you use for training and testing, you can replicate your dataset to include situations that are difficult/highly costly to obtain in real life. Thus, you will have a larger, richer and differentiated data set that you can use for testing. Augmentation Features of TestINT: The image augmentation feature of TestINT enables diversifying test data sets through a broad range of image augmentation options in a matter of minutes. Although new features are continually added, some of the highlights of TestINT are: * TestINT generates new data by applying weather transformations (adding rain, snow, fog), * Day-to-night image transformation, * Object placement (car and pedestrian), * Basic input corruptions (rotation, blurring, contrast, brightness), and * Adversarial attacks. TestINT creates challenging conditions synthetically and helps users save time, effort, and money. How does TestINT support testing? TESTINT’s testing ability enables creating test scenarios by choosing from a variety of model performance and test adequacy metrics. In the end, TestINT prepares insightful test reports for users to identify potential risks of their models. Other Features? Our platform is the first no-code platform that proposes a thorough testing solution for AI-based vision models. TestINT includes 20 augmentation methods for aerial and street-view camera images. TestINT is the only platform with such a broad catalog of image augmentation techniques. Why should Deep Learning System Developers use TestINT? TestINT lets Deep Learning systems’ developers focus on their core Use Case and model, letting TestINT provide the dataset to handle different situations. With TestINT, end-products reach the customer better tested, with corner cases handled more comprehensively and more reliably.
How to use TESTINT?
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Why Choose TESTINT?
You should choose this if your work revolves around deep learning and computer vision, especially with street-view or aerial images. TestINT makes it super easy to create tough test scenarios with a wide range of image augmentations, saving you time and money while making your AI models more reliable and battle-tested.