FungAI -
Automatic Fungal Identification Based On Deep Learning
The FungAI-V1.1 server provides an automated prediction system for fungal species identification.
This AI-based model leverages deep learning techniques applied to time-lapse images.
The server identifies the top five closest classifications to the related fungal species.
The current version was trained on 26,451 high-resolution images representing 110 species from 35 genera derived from fungal strains in the IBT Culture Collection.
Overview of genus
This section gives an overview of the genus in focus. It includes details about classification and characteristics.
Overview of species
This section provides an overview of different species within the genus, highlighting their unique features and relevance.
Instructions
1) The input images must be in 6-well plates, as shown below:
IBT 23255
2) Choose your file and click Upload. You will then see the five closest classifications to your input. (Below is a short video demonstrating how the model is used).
FungAI
Upload an image to classify:
Sample Data
IBT 26955
IBT 41508
Team
