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Trademarks = 1

Forward Citations = 22

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4 inventors (with patents filed for the assignee):

Kye-Hyeon Kim (8 out of 144 patents)

Kye Hyeon Kim (5 out of 5 patents)

Jung Kwon Lee (1 out of 2 patents)

4. Hyundong Lee (1 out of 1 patent)

13 patents: Sort by Forward Citations

1. 12450884 - Method for training custom model based on pre-trained base model and learning device using the same (2025-10-21),

2. 12367663 - Method for selecting training data to train a deep learning model and training data selecting device using the same (2025-07-22),

3. 11955272 - Method for generating object detector based on deep learning capable of detecting extended object class and detector generation device using the same (2024-04-09),

4. 11954898 - Learning method and learning device for performing transfer learning on an object detector that has been trained to detect first object classes such that the object detector is able to detect second object classes, and testing method and testing device using the same (2024-04-09),

5. 11941820 - Method for tracking an object in a low frame-rate video and object tracking device using the same (2024-03-26),

6. 11113573 - Method for generating training data to be used for training deep learning network capable of analyzing images and auto labeling device using the same (2021-09-07),

7. 11030489 - Method for auto-labeling test image by using class-agnostic refinement module, and auto labeling device using the same (2021-06-08),

8. 11023780 - Methods for training auto labeling device and performing auto labeling related to object detection while performing automatic verification by using uncertainty scores and devices using the same (2021-06-01),

9. 11023779 - Methods for training auto labeling device and performing auto labeling related to segmentation while performing automatic verification by using uncertainty scores and devices using the same (2021-06-01),

10. 11023776 - Methods for training auto-labeling device and performing auto-labeling by using hybrid classification and devices using the same (2021-06-01),

11. 10902291 - Methods for training auto labeling device and performing auto labeling related to segmentation while performing automatic verification by using uncertainty scores and devices using the same (2021-01-26),

12. 10902290 - Methods for training auto labeling device and performing auto labeling related to object detection while performing automatic verification by using uncertainty scores and devices using the same (2021-01-26),

13. 10885388 - Method for generating training data to be used for training deep learning network capable of analyzing images and auto labeling device using the same (2021-01-05),

Superb Ai Co., Ltd. is a leading provider of artificial intelligence solutions for businesses. The company specializes in AI-powered data labeling, annotation, and training services for companies looking to enhance their machine learning models. With a team of experienced AI engineers and data scientists, Superb Ai ensures high-quality, accurate data labeling to drive better AI performance. Their cutting-edge technology and customizable solutions make them a trusted partner for companies across various industries.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Dec 9 2025

13 Patents

#267 in Seoul

#830 in South Korea

#43,615 in the World

Seoul, South Korea

Superb Ai Co., Ltd.

Forward Citations = 22

4 inventors:

Kye-Hyeon Kim (8 out of 144 patents)

Kye Hyeon Kim (5 out of 5 patents)

Jung Kwon Lee (1 out of 2 patents)

4. Hyundong Lee (1 out of 1 patent)

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