With over 400 business tags and dozens of business scenarios, we deeply focus on content risk control, utilizing a vast array of real-world scene samples.
Our advanced model training frameworks and methods ensure strong industry adaptability, with tag accuracy rates exceeding 95% and recall rates over 85%.
Supports all mainstream image formats, including webp and tiff. Handles animated images and long images. Offers single and batch processing, synchronous and asynchronous calls. Compatible with both URL and base64 encoding formats.
Identifies age, gender, attractiveness, face proportion, number of faces, face occlusion, and face posture. Can also perform face comparison.
Detects the presence of human bodies, eyebrows, eyes, arms, abdomen, etc. Analyzes portrait qualities, attire, posture, and body type.
Identifies notorious individuals, celebrities, internet personalities, and other notable figures.
Detects low-quality images with blur, smears, mosaics, watermarks, etc. Recognizes still images, eating broadcasts, empty broadcasts in live streams, posters with large text, handwritten content, dense content, and disgusting content. Also identifies various app screenshots.
Identifies scene themes, including pets, food, fitness, games, anime, painting, sports, uniforms, travel scenery, etc.
Recognizes places such as temples, hospitals, schools, malls, hotels, swimming pools, ski resorts, etc.
Identifies business logos, luxury brand logos, sports event logos, mobile phone brands, etc.
Detects various objects including vehicles, buildings, sports equipment, utensils, food, home appliances, office supplies, toys, cosmetics, medicines, household items, kitchenware, artworks, souvenirs, etc.
Identifies insects, mammals, arthropods, flowers, grass, trees, etc.
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