Published July 22, 2026 | Version v1.0.0
Model Open

Data and Models for: Zero-LUT Open-Set Plankton Classification on Edge MPSoC and GPU Platforms

Authors/Creators

  • 1. ROR icon Universidad de Málaga
  • 2. ROR icon Universidad de Las Palmas de Gran Canaria

Description

Compiled DPU model weights (.xmodel), linear-head weights (.bin), FAISS retrieval galleries, and portable TensorRT encoder sources (.onnx) for the AMD Kria KV260 and NVIDIA Jetson Orin Nano Super experiments in "Zero-LUT Open-Set Plankton Classification on Edge MPSoC and GPU Platforms", published in Electronics (MDPI).

This archive is the companion to the code repository on GitHub, which contains the C++ inference engines and YAML configs that reference the files in this archive.

Files

Files (1.2 GB)

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Additional details

Related works

Is derived from
Software: https://github.com/dvdsosa/zero-lut-plankton-edge (URL)
Is supplement to
Journal article: 10.3390/electronics15173933 (DOI)

Funding

Gobierno de Canarias
Impact of the Plankton Unveiled Lunar Cycle in the Subtropical Ocean (IMPULSO) PROID20226010007

Dates

Collected
2026-06-12/2026-07-21

Software

Repository URL
https://github.com/dvdsosa/zero-lut-plankton-edge
Programming language
Python , C++
Development Status
Active