QR passport
Create a QR tag with contacts to print and attach to a collar.
0 active QR tags
Practical services for a QR passport, initial vet guidance, breed detection, and photo search.
Create a QR tag with contacts to print and attach to a collar.
0 active QR tags
Describe symptoms and get an urgency guide. It does not replace an in-person vet visit.
0 messages in the vet module
Upload a photo to get likely breed suggestions for a pet profile.
0 open cards can be enriched with breed data
Compare a lost or found pet photo with cards on the platform.
0 media files are available for comparison
This page shows connected modules and the current data volume used by product workflows.
Creation, public landing page, PNG code, and scan logging run through the Qaz.pet API.
Photos are compared with animal and lost/found indexes through the shared embedding pipeline.
Vet chat and breed detection are available as first-pass helpers before an application or moderation step.
The flow is an operational pipeline: the user uploads a photo, the system shows similar cards, and the final decision stays with a human reviewer.
GitHub and Hugging Face research points to the most useful lightweight additions: visual search, breed hints, and a mobile operational layer for shelters.
A practical fit for image embeddings, similar-photo search, and human review of candidates.
Breed classification models are useful as profile hints, but should not replace moderator review.
Open-source shelter projects converge on cards, records, mobile access, and post-adoption follow-up – this strengthens our roadmap.
Instead of only guessing breed, we can compare individual animals by visual similarity: face, color, markings, pose and image quality. This strengthens lost/found, but requires a local benchmark on Qaz.pet photos first.