bird-identification

Repository for the neural networks and models created for the Bird Song Detector, a bird vocalization detector based on YOLO

Scan audio recordings and identify birds, amphibians and other classes.

Convert and optimize BirdNET models for ONNX Runtime inference on GPUs, CPUs, and embedded devices

Bird Identification PWA made with ReactJS. The indented aim of this app is to identify bird species on the basis of an input image.

Free open information (CC0) about nature on planet earth

🐦 Convert and optimize BirdNET models to ONNX for efficient inference on GPUs, CPUs, and embedded devices like Raspberry Pi.

AI-powered bird classification pipeline for Apple Photos — detects, classifies, and writes bird species as searchable keywords with bio-geographic overrides for US, UK, India, and Singapore.

Self-hosted backyard bird-sound monitoring: BirdNET listens to RTSP camera audio, logs detections to TimescaleDB, and a Next.js dashboard adds species pages, weather & activity patterns, eBird/xeno-canto comparisons, and an audio review queue.

Local-first NABirds recognition with private browser inference

Pipeline for analysing audio files for bird identification using BirdNET

Second-opinion triage layer for BirdNET-Go: flags recent detections worth reviewing, re-checks them with birda, and writes verdicts back from your phone

macOS Lightroom Classic plug-in that auto-tags birds by species using a vision-AI backend (OpenAI/Claude/Gemini), writing flat 'English (Latin)' keywords with honest genus/family fallback.

A real-time sound analysis application with bird species identification capabilities, built in Python using PyQt5 and integrating with BirdNET.