AI Automated Image Tagging with Core dna
AI Automated Image Tagging is a transformative feature that leverages artificial intelligence to streamline and enhance the process of categorizing and managing large image inventories by automatically assigning relevant tags to images. Integrating seamlessly with Core dna, this feature empowers marketers to efficiently organize, search, and utilize digital assets, ultimately improving productivity and content discoverability.
How It Works
Once enabled, AI Automated Image Tagging in Core dna immediately begins analyzing images uploaded to the system. Applying advanced machine learning algorithms, the AI assesses various aspects of an image—such as objects, scenes, colors, and text elements—to generate relevant descriptive tags for each image. These tags are stored within the Core dna content management system, allowing for easy retrieval and management.
Why Marketers Need It
- Improves Searchability: By having richly tagged images, marketers can quickly find specific assets based on detailed descriptors.
- Enhances Collaboration: Teams can better share and utilize images across various channels with readily accessible and accurately tagged image libraries.
- Saves Time: Eliminates the need for manual tagging, freeing up valuable resources and focusing on strategic marketing activities.
Key Specifications
| Feature | Details |
|---|---|
| Tagging Accuracy | High-level precision with continuous learning and updates |
| Integration Capability | Seamlessly integrates with Core dna's existing systems |
| Supported Formats | Common image formats including WebP, JPEG, PNG, GIF, and more |
| Processing Speed | Real-time or batch processing capabilities |
Practical Use Case
Consider a fashion retailer that frequently updates its online store with new product images. With AI Automated Image Tagging integrated into Core dna, each newly uploaded product image—from clothing to accessories—is instantly tagged with relevant descriptors like "summer dress," "blue plaid," or "leather handbag." This improves the product's searchability on their e-commerce platform, enhances customer experience by making search results more accurate, and allows their marketing team to quickly generate category-specific campaigns based on these tags.
Implementation Example
Integration is straightforward: once the AI Automated Image Tagging feature is activated in the Core dna dashboard, users can begin leveraging this function by simply uploading their images as usual. The system begins tagging each image automatically in the background, with marketers able to review and edit tags if necessary. This process ensures optimal tagging without interrupting existing workflows.