Vision Analysis
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YOLO11

yolo11

External baseline · 2024

Variants5
Parameters2.6M - 56.9M
Best Paper mAP54.7%
Licensenon-permissive

Model Variants

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

ModelParamsGFLOPsPaper mAPBest FPS
YOLO11-N2.6M6.539.5%-Details
YOLO11-S9.4M21.547%-Details
YOLO11-M20.1M68.051.5%-Details
YOLO11-L25.3M86.953.4%-Details
YOLO11-X56.9M194.954.7%-Details

Architecture

Type

one-stage

Backbone

CSPDarknet

Neck

C3k2-PAFPN

Head

Decoupled

anchor-freenmsTrained on COCO train2017

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