The Team
Our interdisciplinary team combines expertise in ecology, marine biology, and artificial intelligence.
Andreas Kofidis
Data Scientist, IACM-FORTHHis research focuses on deep learning and computer vision, specifically in the development of robust algorithms for object detection and classification in challenging environments.
Eleni Dretaki
Data Scientist, IACM-FORTHA data scientist specializing in applied mathematics and statistical analysis. Her work involves processing complex datasets and developing computational methodologies for scientific applications.
Maria Zotou
PhD candidate, UAegeanHer research interests lie in marine biodiversity assessment and ecosystem monitoring. She specializes in the taxonomy of Mediterranean marine fauna and field survey methodologies.
Dr. Dimitris Poursanidis
Technical Researcher, IACM-FORTHAn expert in remote sensing and coastal habitat mapping. His work utilizes satellite and drone imagery to study spatial patterns in marine environments and support conservation planning.
Dr. Aggeliki Doxa
Associate Prof. of Biology, IACM-FORTH & UoCHer research focuses on ecological modeling, biodiversity dynamics, and the impact of environmental changes on species distributions and ecosystem services.
Prof. Antonios D. Mazaris
Professor of Ecology, AUTHHis work addresses large-scale conservation challenges, focusing on global biodiversity patterns, extinction risk assessments, and the effectiveness of protected area networks.
Prof. Stelios Katsanevakis
Marine Ecologist, UAegeanHis research investigates marine ecosystem dynamics, biological invasions, and marine conservation planning, aiming to support ecosystem-based management strategies.
Dr. Yiannis Kamarianakis
Research Director, IACM-FORTHAn expert in applied mathematics and statistics. He specializes in time-series analysis, spatial statistics, and the development of predictive models for complex systems.
Dr. Yannis Pantazis
Principal Researcher, IACM-FORTHHis research spans machine learning, signal processing, and data-driven discovery, focusing on developing novel AI architectures and mathematical frameworks for scientific applications.
NEMO-Tools Project
NExt-generation MOnitoring and mapping Tools to assess marine ecosystems and biodiversity
NEMO-Tools is an ambitious research initiative designed to develop affordable, user-friendly, and smart tools for marine biodiversity monitoring. Its primary goal is to support the EU Biodiversity Strategy for 2030 by providing high-precision data to measure ecosystem health and recovery.
While this web interface focuses on Artificial Intelligence (AI) for species identification, the full NEMO-Tools project integrates a hierarchical approach combining multiple cutting-edge technologies:
🤖 Artificial Intelligence
Utilizing Deep Learning (DINOv2, YOLOv11) to classify species from underwater imagery. This tool specifically utilizes the MEDFISH101 dataset to identify 101 Mediterranean fish species.
🛰️ Remote Sensing
Employing satellite (Planet SuperDove) and drone (UAV) imagery to map macroalgae forests and detect marine megafauna in shallow coastal waters.
🧬 Environmental DNA (eDNA)
Developing cost-effective sampling protocols and low-cost 3D-printed probes to detect rare or elusive species through genetic material released in the water.
⚓ Robotics & Acoustics
Deploying upgraded ROVs for quantitative benthic assessments and Ground Unmanned Vehicles (GUVs) for sandy shore monitoring. Includes low-cost hydrophones for citizen-science acoustic monitoring.
The identification tool provided here addresses the challenge of monitoring visually similar species. It leverages the MEDFISH101 dataset, a rigorously curated collection of approximately 70,000 expert-validated images. This dataset represents 101 fish species inhabiting the Hellenic and Mediterranean seas, spanning major families such as Sparidae, Serranidae, and Labridae.
By encompassing commercial, protected, and invasive species—including the Indo-Pacific Lionfish (Pterois miles)—the tool facilitates near real-time ecological monitoring and early detection of biological threats. Powered by state-of-the-art Vision Foundation Models achieving up to 94,12% accuracy using DINOv2-Giant, it empowers citizen scientists to contribute reliable data for evidence-based marine management.
🐟 MEDFISH101 Species List
The following 101 species are currently supported by the model classification engine:
- Aidablennius sphynx
- Apogon imberbis
- Arnoglossus laterna
- Atherina boyeri
- Atherina hepsetus
- Boops boops
- Bothus podas
- Callionymus pusillus
- Callionymus risso
- Caranx crysos
- Chelidonichthys lucerna
- Chromis chromis
- Coris julis
- Dactylopterus volitans
- Dasyatis pastinaca
- Diplodus annularis
- Diplodus puntazzo
- Diplodus sargus
- Diplodus vulgaris
- Echiichthys vipera
- Epinephelus costae
- Epinephelus marginatus
- Fistularia commersonii
- Gobius auratus
- Gobius bucchichi
- Gobius cobitis
- Gobius cruentatus
- Gobius geniporus
- Gobius incognitus
- Gobius niger
- Gobius paganellus
- Gobius vittatus
- Hippocampus guttulatus
- Hippocampus hippocampus
- Labrus bergylta
- Labrus merula
- Labrus mixtus
- Labrus viridis
- Lagocephalus sceleratus
- Lithognathus mormyrus
- Microlipophrys nigriceps
- Mugil auratus
- Mugil cephalus
- Mullus barbatus
- Mullus surmuletus
- Muraena helena
- Oblada melanura
- Pagrus pagrus
- Parablennius gattorugine
- Parablennius incognitus
- Parablennius pilicornis
- Parablennius rouxi
- Parablennius sanguinolentus
- Parablennius tentacularis
- Parablennius zvonimiri
- Parupeneus forsskali
- Phycis phycis
- Plotosus lineatus
- Pomatoschistus marmoratus
- Pterois miles
- Salaria pavo
- Sargocentron rubrum
- Sarpa salpa
- Sciaena umbra
- Scorpaena maderensis
- Scorpaena notata
- Scorpaena scrofa
- Serranus cabrilla
- Serranus hepatus
- Serranus scriba
- Siganus luridus
- Siganus rivulatus
- Solea solea
- Sparisoma cretense
- Sparus aurata
- Spicara maena
- Spicara smaris
- Spondyliosoma cantharus
- Stephanolepis diaspros
- Symphodus cinereus
- Symphodus mediterraneus
- Symphodus melanocercus
- Symphodus ocellatus
- Symphodus roissali
- Symphodus rostratus
- Symphodus tinca
- Syngnathus abaster
- Syngnathus tenuirostris
- Syngnathus typhle
- Thalassoma pavo
- Thorogobius ephippiatus
- Torpedo marmorata
- Torquigener flavimaculosus
- Trachinus araneus
- Trachinus draco
- Trachinus radiatus
- Tripterygion delaisi
- Tripterygion melanurus
- Tripterygion tripteronotus
- Uranoscopus scaber
- Xyrichtys novacula
🧰 Tools
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