Deep Learning Applications

This webpage gathers all the applications developed at the Instituto de Física de Cantabria (IFCA) using deep learning techniques.

Image Recognition

Plants

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Author Ignacio Heredia

Description
This application classifies a plant image among 6K plant species (mainly from Western Europe).

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Conus

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Author Lara Lloret

Description
This application classifies a conus image among 68 conus species.

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Particle Physics Collisions

Author Celia Fernandez

Description
This project studies the performance of convolutional nets at classifying the image of a collision in particle physics among several possible physical processes.

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Miscellaneous

Biodiversity Assistant

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Author Ignacio Heredia

Description
This project builds on top of the plant classifier . It suggests the user possible identifications for new plant observations in iNaturalist, or it's Spanish fork Natusfera, enabling the user to freely choose among the suggested species.
It aims to combine the large scale accuracy of convolutional nets with the fine grained expertise of biodiversity experts in order to reliably accelerate plant classification.