Seals, in this knowledge graph context, refers to a practical AI pipeline experiment using traditional Chinese seal art (海豹-style stamps) as a five-shot image classification and translation task. The experiment demonstrates multimodal AI capabilities: image analysis via OpenAI vision APIs, English description generation, Chinese translation, and appropriateness ranking, subsequently serialised to JSON for potential NFT metadata enrichment.
Semantic Classification
Content
- This is [海豹
- Chinese Seal](https://en.wiktionary.org/wiki/%E6%B5%B7%E8%B1%B9)
- Five shot example with 256x256 gif of the image uploaded
sequenceDiagram participant Client as Client Script participant FS as File System participant OpenAI as OpenAI API participant Translator as Translation Service Note over Client, Translator: Initialization phase Client→>FS: Load JSON data and GIF image paths loop For each NFT Client→>FS: Retrieve next JSON and GIF FS⇒>Client: JSON data and GIF path Client→>OpenAI: Send GIF and JSON for analysis OpenAI⇒>Client: Return text summary in English Client→>Translator: Translate summary to Chinese Translator⇒>Client: Return Chinese summary Client→>OpenAI: Request appropriateness ranking OpenAI⇒>Client: Return ranking result Client→>FS: Save updated JSON with summaries and ranking end Client→>Client: Validate updated JSON files Note over Client: End of processing