Content Moderation is built on Alibaba Cloud's visual analysis and deep learning technologies. The service is widely used and continuously optimized across various realms and scenarios within Alibaba Group and by cloud customers. It provides comprehensive services for threat detection and administration, including image recognition, localization, and retrieval. Content Moderation helps reduce compliance threats from pornography, terrorism, advertisements, junk content, and sensitive information. It also significantly reduces manual review costs.
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Features
| Capability | Function | Description |
| Image Content Moderation | Intelligent pornography detection | Detects pornographic and vulgar content in images. |
| Sensitive content detection | Detects content in images related to sensitive events, violence, weapons, terrorism, gore, and explosions. | |
| Logo detection | Detects content such as TV station logos, watermarks, and trademarks in images. | |
| Junk ad detection | Detects advertising information in images. It is especially effective at detecting text-based ads. | |
| Undesirable scene detection | Detects content in images related to drugs, gambling, and Picture-in-Picture (PiP). | |
| High-risk person detection | Detects sensitive individuals and celebrities in images. | |
| Text Content Moderation | Junk content detection | Detects junk content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting junk text in images. |
| Ad content detection | Detects ad content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting ad content in images. | |
| Sensitive content detection | Detects politically sensitive content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting sensitive text in images. | |
| Terrorism content detection | Detects terrorism-related content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting terrorism-related text in images. | |
| Abuse detection | Detects abusive content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting abusive text in images. | |
| Pornography detection | Detects pornographic content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting pornographic text in images. | |
| Spam and flood detection | Detects spam and flood content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting spam and flood text in images. | |
| Prohibited content detection | Detects prohibited content in text by combining behavior and content analysis. It uses multiple dimensions, models, and detection methods. This feature is suitable for detecting prohibited text in images. |
Scenarios
- New Retail
This solution provides multi-dimensional threat monitoring for multimedia content in New Retail scenarios. This includes product compliance review, moderation of promotional content, monitoring of comments and messages, ad content moderation, and product infringement detection. For example, the solution can detect pornography, vulgarity, gore, violence, and prohibited content in product images. It can also detect spam in product descriptions, identify spam and prohibited items in comments, and detect ads and logos in product images.
- Media
This solution addresses common issues in the media industry. It prevents the spread of content such as images that insult martyrs, parody leaders, or contain illegal or politically sensitive material. The algorithms in Content Moderation can accurately and efficiently detect sensitive individuals and text within images.
- Smart Security
This solution provides multi-dimensional threat monitoring for offline multimedia content in the security industry. It covers security related to people, objects, and scenario-based behaviors. Examples include facial recognition for access control, facial monitoring of key individuals at surveillance checkpoints, crowd gathering detection, detection of events that may affect public stability, and fire safety monitoring (such as detecting smoking, sparks, fire, and explosions).
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