Vision Analysis
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TinyFormer-M

tinyformer

transformer detector with DINOv3-derived ViT backbone

Parameters20.5M
GFLOPsUnknown
Input Size640px
Best mAP-
LicenseApache-2.0 + DINOv3

Architecture

Type

transformer

Backbone

DINOv3-derived ViT

Neck

PBM

Head

DEIMv2 decoder

Benchmark Results

Performance on COCO val2017 across different hardware configurations

No benchmarks yet

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

detrnms-free

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