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TAO v5.5.0

NVIDIA Docs Hub NVIDIA TAO TAO v5.5.0 Semantic Segmentation

Semantic Segmentation

UNET

Previous EfficientDet (TF1)

© Copyright 2024, NVIDIA. Last updated on Oct 15, 2024.

Topics

TAO v5.5.0
Introduction
Getting Started
Model Zoo
- Overview
  - Computer Vision Model Zoo
    
    Foundation Models
    
    Purpose-built models
    
    Pre-trained Models
    
    Performance Metrics
    
    General purpose computer vision models
    
    Computer Vision Feature Summary
Running TAO in the Cloud
TAO API
AutoML
- AutoML
CV Fine-tuning
MLOPS integration
Deploying to Inference SDKs
Deploying with TAO Deploy
Bring Your Own Model (BYOM)
- Bring Your Own Model (BYOM)
  - BYOM Converter
    
    Installing the TAO BYOM Converter for TF1 Classification and UNet
    
    Software Requirements
    
    Installing through pip
    
    Installing the TAO BYOM Converter for TF2 Classification
    
    Software Requirements
    
    Installing via pip
    
    Preparing the ONNX Model
    
    Running the TAO BYOM Converter
    
    Required Arguments
    
    Optional Arguments
    
    Examples of Converting Open-Source Models through TAO BYOM
    
    Supported ONNX nodes in TAO BYOM
  - BYOM Image Classification
Data Services
More Information

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