Open-Source Global Bird Sticker Library Published on GitHub

An open-source project hosted on GitHub provides a digital library of bird stickers covering living species following the AviList taxonomic framework. Developed by Huashu from the bird-watching application Mingji, the repository compiles structured data, multilingual names, and AI-generated illustrations for global avian research and creative applications.

Project Overview and Scope

The library aligns with AviList v2026, a unified global checklist standard. According to the documentation, the project aims to include representations and data for thousands of bird species across multiple orders and families.

• Taxonomy and Identifiers: Integrates cross-database identifiers including eBird, Avibase, Wikidata, and GBIF.
• Multilingual Data: Features common names in up to 43 languages, though coverage varies significantly by language based on source availability.
• Associated Data: Includes structured taxonomy, ecological attributes from AVONET, and reference attribution tracking for every illustration.

Illustration Generation and Quality Control

The project notes that the sticker files are AI-generated illustrations created using reference photos or description boards.

• Review Process: Illustrations underwent review procedures to check field marks such as bills, eyes, plumage patterns, and coloration.
• Quality Tiers: While thousands of stickers meet defined internal quality thresholds, others scored lower and remain part of the repository while awaiting future revisions.
• Limitations: The creators emphasize that these graphics are stylized illustrations rather than scientific field-guide plates, advising users to consult professional guides for precise anatomical details.

Licensing and Usage Guidelines

The repository materials are distributed under specific open-source and open-data licenses.

• Code and Data: Governed by the MIT license and PolyForm Shield 1.0.0 for the sticker usage.
• Commercial Permissions: Stickers can generally be used for commercial work, editing, and redistribution, with a specific restriction prohibiting their use in competing birding, bird identification, or field-guide apps and services.
• Attribution: Users must credit the repository with a link.

How to Verify and Explore

Interested users, developers, and ornithologists can inspect the raw data, CSV crosswalk files, and contribution guidelines directly on the official GitHub repository (`alchaincyf/huashu-bird-sticker`) or view implementation examples via the companion web guide at birdalbum.com.