Bringing artificial intelligence utilizing semantic segmentation closer to you. Easy deep learning with images at your fingertips.
Semantic segmentation is a field of artificial intelligence that identifies what is depicted in the pixels of an image. Its use is expanding in cases where simply enclosing with rectangles makes it difficult to show results, such as distinguishing cracks. When trying to develop a proprietary artificial intelligence system using images at hand, advanced mathematical knowledge is required, and there are many challenges in terms of security and cost. ezDeep SS is a product aimed at solving these issues. With an easy-to-use user interface, it strongly supports deep learning using the image files that customers possess. Of course, highly confidential images can also be utilized. Furthermore, by using an API, you can develop your own proprietary artificial intelligence system that leverages the completed artificial intelligence logic. This could potentially reduce costs compared to developing the entire system from scratch.
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basic information
The basic operation involves simply placing the images you want to embed in the artificial intelligence and the images of the subjects you want it to identify into a specified folder. After completing deep learning, you can develop your own unique system by utilizing the API.
Price range
P6
Delivery Time
P1
Applications/Examples of results
Semantic segmentation is expanding its use in cases where simply enclosing with rectangles makes it difficult to show results, such as distinguishing cracks in walls. This product can be widely used in various fields where semantic segmentation can be applied, not limited to cracks in walls.
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Company information
Realinite Co., Ltd. utilizes advanced IT technology to contribute to society. We have proposed the use of IT technology in various fields, starting with the development of a system that realizes placement in three-dimensional space using cutting-edge web technology. Please feel free to consult us if you have any requests.
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