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YOLOv10-M

yolov10Coming Soon

one-stage detector with CSPDarknet backbone

Parameters15.4M
GFLOPs59.1
Input Size640px
Best mAP-
Licensenon-permissive

Architecture

Type

one-stage

Backbone

CSPDarknet

Neck

PAFPN

Head

NMS-Free Dual Head

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-freePaper: 51.1% mAP

Related Models (yolov10)

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