edgaremy/arthropod-detector

Arthropod Detector 🐞

A YOLO11 detection model trained on images of French Terrestrial Arthropods.

Dataset Repository: github.com/edgaremy/arthropod-detection-dataset
Associated Paper: To be published

Model Description

• Developed by: Edgar Remy
• Model type: YOLO11 family
• License: MIT
• Finetuned from model: Ultralytics/YOLO11

Get Started with the Model

Use the code below to get started with the model in Python.

from ultralytics import YOLO
from huggingface_hub import hf_hub_download

# Download weights from Hugging Face Hub
weights = hf_hub_download(
    repo_id="edgaremy/arthropod-detector",
    filename="yolo11l_arthropod_0.413.pt"
    )

# Load the model with Ultralytics YOLO
model = YOLO(weights)

Multiple sizes of models are available:

• YOLO11n (nano): yolo11n_arthropod_0.437.pt
• YOLO11l (large): yolo11l_arthropod_0.413.pt

The 0.437 and 0.413 correspond to their respective optimal confidence threshold, estimated on the validation set.

For more details, check out:

• The dedicated Dataset Repo on GitHub
• Ultralytics Documentation

Metrics

[TODO]

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