Pet Breed and Individual Identification

Problem Addressed

In a multi-pet household, a single image or video often cannot answer which pets are present, what breed each one is, and how to distinguish them. A single breed label is not enough for monitoring, activity tracking, or building a consistent pet archive.

How It Works

The skill sends pet images, videos, local files, or public URLs to scripts.pet_breed_individual_recognition_analysis, then uses the cloud API for pet detection, breed classification, and individual distinction. Core capabilities include:

• Breed identification: identifies common cat and dog breeds, including mainstream and rare breeds, and returns confidence scores.
• Multi-pet distinction: detects multiple pets in the same frame and differentiates separate individuals.
• Report lookup: lists historical reports from the cloud API via --list, rather than reconstructing them from local memory.
• Output control: supports basic, standard, and json detail levels, with optional file output.

The workflow accepts --input or --url, keeps identity handling internal, and returns pet count, breed judgment, individual distinction, confidence, notes, and report links.

Boundaries

Inputs should show pets clearly, have sufficient lighting, and leave reasonable spacing between pets. Supported formats include jpg/png/mp4/avi/mov, with a maximum size around 10MB. Results are for pet management reference and do not replace professional pedigree verification. Historical reports must be read from the cloud API, not local records or long-term memory.