DEEPCRAFT™ Studio 5.3 has arrived. Read more →
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  • Introduction
  • Release notes
  • DEEPCRAFT™ Ready Models
    • Testing using pre-compiled binary/hex files
    • Testing using static library in custom applications
  • Download and Install DEEPCRAFT™ Studio
    • Machine learning Algorithms in DEEPCRAFT™ Studio
    • Starter Models and Project Templates
      • DEEPCRAFT™ Starter Models
      • Project Templates
    • Graph UX
      • Graph UX Overview
    • Infineon PSoC™ 6 Artificial Intelligence Evaluation Kit
    • Infineon PSoC™6 Wi-Fi BT Pioneer Kit and IoT sense expansion kit
    • Tensor Streaming Protocol for Real-Time Data Collection
      • Registering sensors or development boards using Protocol version 2
      • Registering sensors or development boards using Protocol version 1
      • Flashing your custom firmware using ModusToolbox™
    • Infineon Boards and DEEPCRAFT™ Studio
      • Studio Project File
        • Data Tab
  • Data Preparation
    • Data Collection
      • Real-Time Data Collection with PSoC™ 6 AI Evaluation Kit using new streaming firmware
        • Collecting and labeling data using microphone sensor
        • Collecting and labeling data using IMU sensor
        • Collecting and labeling data using Magnetometer sensor
        • Collecting and labeling data using Pressure Sensor
        • Collecting and labeling data using using Radar sensor
        • Collecting and Labeling data using multiple sensors
      • Real-Time Data Collection with PSoC™ 6 AI Evaluation Kit using old streaming firmware
      • Real-Time Data Collection from Sensors using old streaming firmware/protocol
      • Bring your own data
    • Adding data to Project
    • Data Labeling
      • Manual Labeling
      • ML Assisted Labeling
      • Sequential Labeling
    • Data Distribution
      • Data Augmentation
      • Managing labels
      • Creating multiple label tracks
  • Preprocessing
  • Model Training
    • Generating model
    • Starting and Tracking Training Job
    • Downloading model files and Importing model predictions
  • Model Evaluation
      • Model evaluation using Confusion Matrix
      • Model explainability using Window Visualization and Grad-CAM
      • Evaluating model using Graph UX
    • Evaluate regression model
  • Code Generation
    • Code Generation and Model Optimization for Infineon PSoC™ 6 and PSOC™ Edge boards
    • Code Generation for Infineon AURIX, Traveo, XMC7200 and Other Development Boards
    • Code Generation using Graph UX
  • Model Deployment
    • Edge API
    • Model Deployment on Supported Infineon Boards
      • Deploy siren detection model on AURIX™ TC375 Lite Kit
      • Deploy model on PSoC™ 6 and PSOC™ Edge boards
      • Deploy siren detection model on TRAVEO™ T2G (KIT_T2G-B-E_LITE)
      • Deploy siren detection model on TRAVEO™ T2G (KIT_T2G-B-H_LITE)
      • Deploy siren detection model on XMC7200 Evaluation Kit
    • Model Deployment on Other Development Boards
    • Supported layers and functions
    • Creating custom layers or functions
    • IAR Embedded Workbench
    • Building Siren Detection machine learning model
      • Data Preparation
      • Preprocessing
      • Model Training
      • Code Generation and Model Deployment
    • Predicting Power Generation from Wind Turbine
  • Frequently Asked Questions
  • Legal
    • Imagimob AI Model Evaluation License Agreement
    • DEEPCRAFT™ Studio Terms & Conditions
    • DEEPCRAFT™ Studio Licensing Metrics and Fees
    • Privacy Policy for DEEPCRAFT™ Studio and connected services

On This Page

  • Legal Notices
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Legal Notices

Read the listed legal notices and learn the important information about the services offered by Imagimob.

  • Imagimob AI Model Evaluation License Agreement
  • DEEPCRAFT™ Studio Terms & Conditions
  • DEEPCRAFT™ Studio Licensing Metrics and Fees
  • Privacy Policy for DEEPCRAFT™ Studio and connected services

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