Rastrum
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Streak reminders
Get a single push notification at 8 PM local time when your streak is one day from breaking. Strict opt-in; never multiple notifications per day.
Identification pipeline
Configure which models run when you identify a species. The cascade tries them in order and picks the most confident result.
How it works
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On-device AI (experimental)
Phi-3.5-vision (~4 GB) for offline ID + Llama-3.2-1B (~880 MB) for translations. WebGPU required. Models download once on first use, then run fully on-device.
Your browser does not support WebGPU — on-device AI is unavailable.
Phi-3.5-vision
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Llama-3.2-1B
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BirdNET-Lite (audio, on-device)
Cornell Lab's bird-call identifier (~50 MB). Downloads once, then runs entirely on this device — recordings never leave the browser.
Weights are not hosted yet — set PUBLIC_BIRDNET_WEIGHTS_URL to enable.
BirdNET-Lite v2.4
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Cite Kahl et al. 2021 if you publish using BirdNET results.
BirdNET model is licensed CC BY-NC-SA 4.0 — non-commercial use only.
🎥 MegaDetector v5a (camera trap)
Detects animals in camera trap photos entirely on your device. ~134 MB, one-time download.
Model URL not configured. Contact the administrator.
MegaDetector v5a (INT8 ONNX)
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Microsoft AI for Good · MIT License · Detection only (no species classification)
EfficientNet-Lite0 (photo, on-device)
Compact ImageNet classifier (~2.8 MB). Downloads once, then runs entirely on this device — photos never leave the browser.
Weights are not hosted yet — set PUBLIC_ONNX_BASE_URL to enable.
EfficientNet-Lite0
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Model: TensorFlow Model Garden (Apache-2.0). ImageNet labels are English common names — treat results as hints, not research-grade IDs.
Offline maps — Mexico
Download a Mexico-wide pmtiles archive (zoom 0–10) so the basemap renders without a network connection. Stored in your browser's Cache storage and reused on every map load.
Offline map URL is not configured — set PUBLIC_PMTILES_MX_URL to enable.
Offline maps — Mexico
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Map data © OpenStreetMap contributors, ODbL.
Security
Passkeys aren't supported on this browser.