Flightmap vs Aotearoa Species Classifier

Flightmap puts a clean VFR chart in your pocket — airspace, aerodromes, frequencies, routes, and weather, ready when you are. See the chart clearly • VFR-style map with airspace overlays you can actually read • Tap any airspace for class, limits, and frequencies • Aerodromes with details and one-tap fly direct • Built-up areas, heights, satellite, and layer controls that stay out of your way • Official AIP plates open from the aerodrome when you need them PLAN SIMPLE ROUTES FAST • Long-press to drop pins and build multi-leg tracks in seconds • Bend the route for this trip without cluttering saved pins • Live leg and total time estimates from GPS or your cruise speed • Import and export GPX so your routes move with you Weather along the route: • Forecast cards along your track, not just at one airport • 0–24 hour time slider to scrub conditions ahead • Powered by MET Norway (Yr) Fly with your region • Download NZ, AU, or US packs from the world map • Cache maps for smoother offline use • GPS follow: Free, North up, or Track up • Optional nearby traffic and ADS-B tools when you want them Built for pilots who want a fast, modern companion for awareness and planning — without the clutter. Flightmap is a situational awareness companion, not a certified navigation system. Always cross-check with current official AIP / charts before flight. Privacy Policy, Terms, and support are in Settings.

An app for classifying species found in Aotearoa New Zealand. It is based on an artificial neural network model trained on 14991 species, including plants and animals, that can be found around New Zealand. It is possible to take images by camera or select images from local storage. The model runs locally, so no network connection is required to make classifications. The imagery used for training the artificial neural network is a snapshot of all research-grade observations from Aotearoa New Zealand available via the crowd-sourcing website iNaturalist. Improvements to the model will be possible primarily by retraining the model on a more recent snapshot. Users are encouraged to upload their observations to iNaturalist, particularly for species that do not currently have many observations made in Aotearoa New Zealand. To facilitate upload, it may be best to take photos outside the app, so that a photo can be uploaded to iNaturalist via a suitable app if appropriate. Note that the classifier does not know at all about species that were not represented in the snapshot of observations used for training. In particular, invasive species that are new to Aotearoa New Zealand or those for which iNaturalist did not have any observations from Aotearoa New Zealand when the model was trained will not be known to the model.