A world-first milestone: YOLO 11 is now trainable in LabVIEW with ONNX Runtime. No Ultralytics code. No Python. No AGPL. A new era of deep learning begins—for industry, science, and embedded systems.
Computer Vision Toolkit
AI
AI deployment
AI Development
AI innovation
AI integration
AI interoperability
AI Tools
AI workflows
Artificial Intelligence
Automation
Computer Vision
cuda
Deep Learning
Embedded Systems
Florence - 2
GPU Computation
graiphic
HAIBAL
HAIBAL 2.0
HAIBAL Replacement
Intel
Keras
LabVIEW
LabVIEW Toolkits
Language Models
layers
Machine Learning
National Instruments
NI
Object detection
ONNX
ONNX Runtime
PERRINE Replacement
PyTorch
release note
release notes
Robotics Module
SOTA
TensorFlow
TIGR
TIGR Replacement
Tool
Toolkit
VLM
Xilinx
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LabVIEW and SOTA: Simplifying AI with Graphical Programming
SOTA toolkits, powered by LabVIEW, revolutionize AI development by combining intuitive graphical programming with cutting-edge tools for annotation, training, optimization, and deployment. This unified approach simplifies workflows, reduces costs, and accelerates innovation, making AI accessible to engineers, researchers, and businesses alike.
Annotation: Transforming AI Development, One Step at a Time
Discover Annotator, the revolutionary all-in-one tool for AI development. From data annotation to YOLO model training and deployment, Annotator simplifies your workflow while integrating advanced ONNX Runtime capabilities. Transform your AI projects with ease and efficiency.