An end-to-end deep learning solution supporting multiple model architectures with advanced features for training, evaluation, and production-ready inference.

Object detection and segmentation within the water column of Lake Geneva to facilitate plankton classification by domain experts.

Shiny app for manual image classification and validation of IFCB data

Cross-instrument plankton image classification + calibration + Grad-CAM + simple trait extraction.

Gradio app for IFCB plankton image classification using convolutional neural networks

Explainable deep learning framework, datasets and models for training and deploying deep learning models for plankton identification. Part of Inria Challenge OcéanIA 🌊