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Deep learning Models are Hungry for the Right Data
Artificial intelligence (AI) is penetrating more and more areas, and the manufacturing industries are no exception. In today's manufacturing industry, deep learning (DL) is used in a variety of industries to perform repetitive tasks. One of the greatest challenges in the development of neural networks is the need to develop adaptable yet robust control algorithms that can take into account all possible behaviours of the system and respond appropriately to unforeseen situations.
Understand the benefits of synthetic data, including enhanced model training, cost efficiency, and the ability to generate rare or hard-to-capture scenarios.
Explore the critical role of high-quality annotations in dataset preparation. Our synthetic image data comes fully annotated, as our generation process precisely tracks and identifies every element within each image, ensuring consistent and accurate labelling.
Our 3D rendering process leverages advanced computer graphics techniques to create highly realistic and detailed synthetic images. This approach allows us to simulate a wide range of scenarios and environments.
If you are facing challenges with data acquisition and are considering the use of synthetic images for an application not listed here, contact us – we would be glad to work together towards a solution.
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By clicking "Accept all Cookies", you agree to the storage of cookies on your device to improve website navigation, analyse website usage and assist us in our marketing efforts. More Info
By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage and assist in our marketing efforts. More info