YOLOv9-P2-S

yolov9-p2

one-stage detector with GELAN backbone

No public COCO checkpoint. This variant requires locally COCO-trained weights; its VisDrone preview cannot be used for a COCO benchmark.

Code

Parameters7.2M

GFLOPsUnknown

Input Size640px

Best mAP-

LicenseMIT

Architecture

Type

one-stage

Backbone

GELAN

Neck

PAN with stride-4 scale

Head

Multi-scale detection

Benchmark Results

Performance on COCO val2017 across different hardware configurations

No benchmarks yet

This model has not been benchmarked with LibreYOLO. Benchmarks coming soon.

anchor-freenms

Related Models (yolov9-p2)

YOLOv9-P2-T

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