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DINO X
Overview :
DINO-X is a large visual model centered on object perception, equipped with core capabilities like open-set detection, intelligent question answering, human pose recognition, object counting, and clothing color changing. It not only identifies known targets but also flexibly responds to unknown categories. With advanced algorithms, the model exhibits excellent adaptability and robustness, providing comprehensive solutions for complex visual data across various unpredictable challenges. The applications of DINO-X are extensive, including robotics, agriculture, retail, security monitoring, traffic management, manufacturing, smart homes, logistics and warehousing, and entertainment media. It is the flagship product of DeepDataSpace in the field of computer vision technology.
Target Users :
The target audience for DINO-X includes enterprises requiring complex visual data analysis and processing, such as security monitoring companies, agricultural automation businesses, retail sectors, and traffic management departments. These companies can leverage DINO-X's open-set detection and intelligent question-answering features to enhance security management, optimize production processes, and improve user experience.
Use Cases
Detect abnormal behaviors or objects during robot patrols for timely alerts, enhancing security management.
Assist robots in performing grabbing and handling tasks more accurately through the visual model, creating a more natural and friendly user experience.
Identify personnel and environments in public places to provide efficient services, such as automatic cleaning and meal delivery.
Features
Open-set detection: Go beyond boundaries to identify unknown object categories.
Intelligent question answering: Assist robots in executing more precise grabbing and handling tasks through the visual model.
Human pose recognition: Identify personnel and environments in public places to provide efficient services.
Object counting: One-click counting to quickly obtain accurate results.
Clothing color changing: Assist in transforming clothing colors through the visual model.
Adaptability and robustness: The model accurately tackles various unforeseen challenges.
How to Use
1. Visit the DeepDataSpace official website and register an account.
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2. Select the DINO-X model and apply for an API trial.
3. Make interface calls according to the provided API documentation.
4. Upload the images or videos for detection.
5. Utilize the DINO-X model for object detection, intelligent question answering, and other operations.
6. Retrieve the analysis results returned by the model and process them as needed.
7. If required, further integrate the DINO-X model into the existing business processes of the enterprise.
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