TESTINT’s large catalog of augmentation methods allows generating diverse test images for different scenarios covering adversarial attacks, basic corruptions, and environmental condition changes.
TESTINT allows creating test scenarios and testing your model on generated datasets choosing from a variety of performance and test adequacy metrics.
TESTINT prepares insightful reports containing test results with tables and bar charts. Download the report and discover hidden insights about your model and test dataset.
Easily upload the images you want to augment to the TESTINT platform.
Download your newly generated images or keep them on the platform for testing.
Add your deep learning-based image classification models to the platform and test them on newly generated data. We support Keras and PyTorch models!
Choose from a variety of performance and test adequacy metrics to evaluate your DL models with datasets in TESTINT.
Performance and behaviour of your DL models will be analyzed and test reports with tables and bar charts are prepared.
Capabilities of modern AV technology rely heavily on machine learning and artificial intelligence. Our platform provides a quick and efficient solution to build more robust and accurate ADAS functions. It enhances perception capabilities of the AV by simulating environmental changes. It brings the AI models to a safer level by checking the model robustness against vulnerabilities and malicious attacks.
Our platform capabilities enhance the safety and precision of artificial intelligence applications in the defense and aviation industries. TESTINT generates synthetic aerial images for conditions being challenging to collect data. It helps making the model robust and safe by thorough testing.
High diversity of data is necessary for building successful AI apps. Verifying the models with adequate data sets is vital for creating robust solutions.
Our mission at testINT is assisting the development of robust AI applications by using intelligent image synthesis techniques. We do this by expanding the test data sets by applying data augmentation techniques such as linear and affine transformations, GANs and adversarial attacks. You can also upload your model and we will run the tests with the expanded data set and provide you with a report that includes insightful data about the robustness and interpretability of your model.
You focus on your model and business requirements while we help you expand your test data sets and let you test&analyze your model using testint.