YOLO26 ONNX Models
Complete collection of YOLO26 models in ONNX format.
📋 Overview
- Total Models: 19
- Source: Ultralytics/YOLO26
- Format: ONNX (opset 12)
- Input Size: 640×640
- Upload Time: 2026-02-24 16:50:57
🎯 Model List
Object Detection
yolo26l.onnx(95.0 MB)yolo26m.onnx(78.2 MB)yolo26n.onnx(9.5 MB)yolo26s.onnx(36.5 MB)yolo26x.onnx(212.9 MB)
Instance Segmentation
yolo26l-seg.onnx(107.1 MB)yolo26m-seg.onnx(90.2 MB)yolo26n-seg.onnx(10.7 MB)yolo26s-seg.onnx(40.0 MB)yolo26x-seg.onnx(240.0 MB)
Pose Estimation
yolo26l-pose.onnx(99.4 MB)yolo26m-pose.onnx(82.6 MB)yolo26n-pose.onnx(11.6 MB)yolo26s-pose.onnx(39.9 MB)yolo26x-pose.onnx(220.0 MB)
Image Classification
yolo26l-cls.onnx(53.9 MB)yolo26m-cls.onnx(44.4 MB)yolo26n-cls.onnx(10.8 MB)yolo26s-cls.onnx(25.7 MB)
🚀 Quick Start
import onnxruntime as ort
# Load model
session = ort.InferenceSession("zwh20081/yolo26-onnx/yolo26n.onnx")
# Prepare input (640×640 RGB, normalized 0-1)
# Inference...
⚙️ Technical Details
- ONNX Opset: 12
- Optimization: Simplified (simplify=True)
- Input: 3×640×640 (normalized 0-1)
- Device: CPU/GPU compatible
📄 License
- Models: AGPL-3.0
- Code: MIT
🔗 Links
Repository created by: zwh20081
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