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YOLOv9-P2

yolov9-p2In LibreYOLO

LibreYOLO contributors · 2026

Code
Variants2
Parameters2.2M - 7.2M
Best Paper mAP-
LicenseMIT

Model Variants

All variants benchmarked on COCO val2017. Click any variant for the full hardware breakdown.

ModelParamsGFLOPsPaper mAPBest FPS
YOLOv9-P2-T2.2MUnknown--Details
YOLOv9-P2-S7.2MUnknown--Details

Architecture

Type

one-stage

Backbone

GELAN

Neck

PAN with stride-4 scale

Head

Multi-scale detection

anchor-freenmsTrained on Checkpoint-dependent; no public COCO weights

Run any model with one line

LibreYOLO has the best catalogue of state-of-the-art detectors, all behind one MIT-licensed Python API.

from libreyolo import LibreYOLO, SAMPLE_IMAGE

# LibreYOLO has the best catalogue of state-of-the-art models.
model = LibreYOLO("LibreRFDETRl.pt")           # RF-DETR-L (transformer flagship)
results = model(SAMPLE_IMAGE, save=True)        # run inference, save the annotated image

# Swap in any other model, same one-line API (weights auto-download):
#   LibreYOLO("LibreYOLO9c.pt")      # YOLO9-C
#   LibreYOLO("LibreYOLOXx.pt")      # YOLOX-X
#   LibreYOLO("LibreDFINEx.pt")      # D-FINE-X
#   LibreYOLO("LibreRTDETRr50.pt")   # RT-DETR-R50