Birdex : machine learning on common life
Pérez Báidez, José Antonio (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025060420448
https://urn.fi/URN:NBN:fi:amk-2025060420448
Tiivistelmä
Birdex is an application developed within the framework of machine learning, which uses convolutional neural networks to classify and detect birds present in Spain in 2024. The model not only allows for the identification of current species, but also considers cases in which some birds could be extinct by 2025, thus providing additional historical and scientific value.
The project stems from two complementary approaches. On the one hand, it responds to a scientific need: to provide researchers and ornithologists with an accessible and accurate tool for classifying species, while also offering a common platform to keep information on each bird up-to-date.
On the other hand, from a general user perspective, Birdex functions as a kind of "bird Pokédex," where users can detect, record, and learn about each species they encounter. The application allows users to complete a personal list of sightings, providing relevant information such as their habitat, conservation status, and whether the species is extinct.
The project stems from two complementary approaches. On the one hand, it responds to a scientific need: to provide researchers and ornithologists with an accessible and accurate tool for classifying species, while also offering a common platform to keep information on each bird up-to-date.
On the other hand, from a general user perspective, Birdex functions as a kind of "bird Pokédex," where users can detect, record, and learn about each species they encounter. The application allows users to complete a personal list of sightings, providing relevant information such as their habitat, conservation status, and whether the species is extinct.