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  6. Case study of developing a 20,000-class classification model using deep distance learning models.

Case study of developing a 20,000-class classification model using deep distance learning models.

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last updated:Dec 13, 2021

Rist
Rist
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We will introduce a case study on the application of a deep distance learning AI model that utilizes AI (artificial intelligence) to optimize and learn the distance of information!

The "Rist Image AI Research Commissioning Service" is a service that fully undertakes image AI development for companies' product and service development and R&D departments. It has the potential to solve projects that could not be realized with only in-house technology and long-standing technical challenges that have remained unresolved. 【AI Development Example: Application of a Deep Distance Learning AI Model that Optimizes the Distance of Information】 ■ Selected deep distance learning (Metric Learning) applicable to face recognition for 20,000 class classification ■ Register features using the Metric Learning model → Perform classification by comparing the features of the input image ■ Potential applicable cases: face recognition, store product classification, good product learning, etc. *For more details, please refer to the PDF materials or feel free to contact us.

    Image Processing SoftwareOther contract servicesOther services
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Case study of developing a 20,000-class classification model using deep distance learning models.

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キャプチャ.PNG
  • Related Link - https://www.rist.co.jp/service/aireserch/

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【Development Achievements (Partial)】 ■ Implementation of new algorithms for classification/object detection/semantic segmentation/instance segmentation ■ Few-shot learning systems for creating AI models with a small number of images ■ DeepDenoising systems for image noise removal ■ Sim2real systems for realistically converting 3G images ■ Good product learning systems that detect defects using only good product images (Including AutoEncoder-related systems and good product learning systems represented by SPADE in the feature space) ■ AI model enhancement-related (FP16 conversion, Tensor RT, pruning, etc.) *For more details, please visit our website or PDF materials, or feel free to contact us.

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Rist Image AI Research Commission Service

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Rist

Rist

Testing, Analysis and Measurement

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Rist Inc. is a company that develops and provides solutions and products using AI technology, primarily focused on the manufacturing industry, under the mission of "Bringing brilliance to the future of Japan through AI." We possess the technical expertise to address challenges unique to the manufacturing sector and develop custom solutions tailored to our clients' needs, including appearance inspection systems utilizing Deep Learning, data analysis, and predictive models. By mastering new technologies such as Deep Learning, which are being researched worldwide, we continue to challenge ourselves to solve the issues faced by our clients and society through the systematization of tasks that have traditionally been performed by humans and the accumulation and analysis of know-how.

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