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Lens AI
  • 👋Welcome to Lens AI
  • Overview
    • 💡Why Lens AI
    • ✨Features
    • 📖API Documentation Edge Observability
    • MedicalAI Observability Library API Reference
  • Product Guides
    • 📪Understanding the Metrics
    • 📎Sampling Metrics
    • 📎Image Metrics
    • 📎Model Metrics
  • Fundamentals
    • 🛠️Getting started
      • 🗒️Step 1: Integrating Lens AI Python Profiler
      • 📝Step 2: Integrating Lens AI Cpp Profiler on Edge
      • 🧑Step 3: Monitoring the Metrics on the Lens AI Server.
  • Use Cases
    • 🖥️Object Detection
  • Usage
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  1. Fundamentals

Getting started

The Key tools in the Lens AI platform are the following

PreviousModel MetricsNextStep 1: Integrating Lens AI Python Profiler

Last updated 11 months ago

  • Lens AI Python Profiler

  • Lens AI Cpp Profiler

  • Lens AI Monitoring Server

The Key steps for integrating Lens AI into your Model and data observability pipeline

Step1: Integrating Lens AI Python Profiler during the Model Training Phase

Step 2: Integrating Lens AI Cpp Profiler on the Edge device during Model Inference

Step 3: Using Lens AI Monitoring Server for obserivng the Model and Data

Step 4: Retraining the model with the sampled data

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Lens AI Integration Architecture