DeepCleer's business-label detectors recognize fine-grained attributes of an image beyond the standard risk categories. Enable them via the businessType field — combine multiple values with underscores (for example, AGE_GENDER). Each value below maps to a branch of the detector taxonomy; the Examples column shows representative sub-labels you may see in the response.
| Value | What it detects | Examples |
|---|
AGE | Age estimation | Can flag likely minors. |
GENDER | Gender | — |
BEAUTY | Attractiveness score | — |
RACE | Perceived race | e.g., Black, White, East Asian. |
FACEDETECTION | Face presence and pose | No face, real face, masked face, front-facing, profile, etc. |
FAKEFACE | Synthetic/forged faces | Detects AI-generated or tampered face imagery. |
FACECOMPARE | Face comparison | Matches faces across images for identity consistency checks. |
| Value | What it detects | Examples |
|---|
PUBLICFIGURE | Public figures | Celebrities, online influencers. |
TAINTEDSTAR | Sanctioned public figures | Figures subject to regulator-imposed bans or blacklists (a category specific to China-market compliance). |
| Value | What it detects | Examples |
|---|
POSTURE | Body pose | Sitting, kneeling, etc. |
DRESS | Clothing style | JK uniform, hanfu, and other culturally specific attire. |
TEMPERAMENT | Persona/vibe | "Mature gentleman," "glamorous woman," and similar stylized archetypes. |
| Value | What it detects | Examples |
|---|
BODY | Body parts | Hair, eyes, nose, etc. |
DEFORMITY | Deformities of the torso or limbs | — |
| Value | What it detects | Examples |
|---|
PICTUREFORM | Image format | Anime, memes/reaction images, etc. |
PICTURESTRUCT | Image composition | Grid collages, multi-panel/scene layouts, etc. |
LOWVISION | Low visual quality | Blur, heavy smudging, mosaic/pixelation. |
LOWCONTNET | Low-quality content (note: identifier in the API is misspelled; sic) | Dense dots or lines, swarms of insects, and other visually noisy or aversive content. |
LIVEPICTURE | Livestream scene | In-bed streaming, behind-the-wheel streaming, etc. |
SCREENSHOT | App screenshots (repost/scraped content) | WeChat Moments screenshots, in-app chat screenshots, etc. |
| Value | What it detects | Examples |
|---|
FITNESS | Fitness scenes | — |
CATE | Food and cuisine | — |
MUSIC | Music scenes | — |
SPORTS | Sports scenes | — |
SCENERY | Natural scenery | Sky, sea, grassland, etc. |
CITYVIEW | Cityscape | Street view, etc. |
| Value | What it detects | Examples |
|---|
3CPRODUCTSLOGO | Consumer-electronics ("3C") brands | Huawei, Xiaomi, OPPO, etc. |
LOGOSHOPPINGAPPS | Shopping and price-comparison apps | Pinduoduo, etc. |
LOGORETOUCHAPPS | Photo- and video-editing apps | Kuai Jianji, Miaopai, etc. |
LOGOSOCIALAPPS | Social and messaging apps | Weibo, Xiaohongshu (RED), etc. |
LOGOPHOTOMATERIAL | Stock-image and licensing platforms | CFP, etc. |
LOGONEWSAPPS | News and reading apps | Sina, Visual China, etc. |
LOGOENTERTAINMENTAPPS | Video and entertainment apps | Douyin (TikTok's China app), Kuaishou, etc. |
LOGOSPORTS | Sporting-event logos | Olympic rings, etc. |
LOGOAPPAREL | Apparel and footwear brands | VANS, H&M, etc. |
LOGOACCESSORIES | Jewelry and accessory brands | Audemars Piguet, Nomos, etc. |
LOGOCOSMETICS | Cosmetics brands | LOTTE, e.l.f. (Eyes Lips Face), etc. |
LOGOFOOD | Food and beverage brands | Starbucks, LOTTE, etc. |
LOGOAUTOTRADEAPPS | Automotive marketplace platforms | Dongchedi, Yiche, Pacific Auto (Taipingyang Auto), iKar, etc. |
| Value | What it detects | Examples |
|---|
VEHICLE | Vehicles | — |
BUILDING | Buildings | — |
TABLEWARE | Tableware | — |
FOOD | Food items | — |
HOMEAPPLICATION | Home appliances | — |
OFFICESUPPLIES | Office supplies | — |
FASHION | Clothing and accessories | — |
SPORTEQUIPMENT | Sports equipment | — |
TOY | Toys | — |
MAKEUP | Cosmetics | — |
DRUGS | Medicines and pharmaceuticals | — |
PAINTING | Paintings and artwork | — |
ELECTRONIC | Electronics | — |
LOTTERY | Lottery tickets, specifically scratch-off tickets | — |
MEDICALIMAGE | Medical imaging | X-rays, MRIs, ultrasounds, and similar clinical imagery. |
FURNITURE | Furniture and home furnishings | — |
DAILYSUPPLIES | Everyday household items | — |
CONSTELLATION | Astrology and horoscope imagery | — |
KITCHENWARE | Kitchenware | — |
KEEPSAKE | Mementos and souvenirs | — |
| Value | What it detects | Examples |
|---|
MAMMAL | Mammals | — |
BIRDS | Birds | — |
REPTILE | Reptiles | — |
FISH | Fish | — |
ARTHROPOD | Arthropods | Insects, spiders, etc. |
COELENTERATE | Cnidarians | Jellyfish, corals, etc. |
MOLLUSKS | Mollusks | — |
CRUSTACEAN | Crustaceans | — |
| Value | What it detects | Examples |
|---|
PLANT | Plants | — |
| Value | What it detects | Examples |
|---|
SETTING | Location/setting | Bathroom, hotel room, kitchen, etc. |
EXTREMEWEATHER | Extreme weather | Flood, heavy rain, sandstorm, ice storm, etc. |
LICENCEPLATE | Vehicle license plates | Plate recognition. |
