Food Presentation Check: Detect Quality Problems from a Plate Photo
Upload a plate photo attached to a complaint or taken in the kitchen: the AI judges whether there is a quality problem, what kind, and how appetising the food looks.
Photo of the food or drink
Example photos
Example photo: Tomwsulcer, CC0 (Wikimedia Commons)
Result
The result will appear here.
Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.
Labels
The model scores the probability of each damage type below for every photo. You can extend the damage types for your processes or use it with labels made for you.
- Foreign object
- Hair, insects, plastic or another foreign object.
- Undercooked
- Meat, fish or dough looks raw or undercooked.
- Burnt
- Burnt or overcooked food.
- Messy plating
- A messy, spilled or careless plate.
- Small portion
- The portion looks small for the plate.
- Not fresh
- Stale, wilted or dried-out food.
Where is it used?
Examples of how teams use this model in their daily work.
- 01
Complaint verification
Assess photo complaints from delivery platforms instantly and compensate valid cases quickly.
- 02
Kitchen standards
Track plating and portion standards across branches with pre-service plate photos.
- 03
Menu imagery
Compare how appetising the photos on your menu and platforms look.
- 04
Food safety
Send photos showing foreign objects or raw food to the quality team immediately.
Use this model in your own system
Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].
Frequently asked questions
- Is this tool free?
- Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
- Which languages does it support?
- It understands multilingual text, Turkish and English first; results are shown in your interface language.
- Is my text stored?
- No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
- Can I analyse in bulk?
- The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.
Other tools
All tools- Product Damage DetectorNewBroken, crushed or wet products and parcels from a photo
- Logo DetectionNewFind your brand's logo in a photo
- Shelf AuditNewOut-of-stock gaps and tidiness from a shelf photo
- Vehicle Damage DetectionNewDents, scratches, broken glass and lights
- Venue Cleanliness CheckNewDirty floors, overflowing bins, clutter
- Fire and Smoke DetectionNewFire, flames and smoke in a photo
- Return vs Listing MatchNewIs the returned item the one in the listing?
- Vehicle Make and Model RecognitionNewBody type, make, model and colour from a photo
Want to analyse thousands of reviews automatically?
BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.
Request a demo