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Oracle Cloud Infrastructure Documentation


Infrastructure ServicesVisionUsing Custom Image Analysis Models
  • Oracle Cloud Infrastructure Cloud Adoption Framework
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  • Oracle Multicloud
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    • API Gateway
    • Application Dependency Management
    • Application Performance Monitoring
    • Archive Storage
    • Artifact Registry
    • Audit
    • Automated CEMLI Execution
    • Autonomous Linux
    • Bastion
    • Big Data Service
    • Billing and Cost Management
    • Block Volume
    • Blockchain Platform
    • Certificates
    • Cloud Advisor
    • Cloud Guard
    • Cluster Placement Groups
    • Compartment Quotas
    • Compliance Documents
    • Compute
    • Compute Cloud@Customer
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    • DNS and Traffic Management
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    • Email Delivery
    • Events
    • File Storage
    • File Storage with Lustre
    • Fleet Application Management
    • Functions
    • Fusion Data Intelligence
    • Generative AI
    • Generative AI Agents
    • Globally Distributed Exadata Database on Exascale Infrastructure
    • GoldenGate
    • Health Checks
    • Integration 3
    • Integration Generation 2
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    • Language
    • Load Balancer
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    • Logging
    • Managed Access
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    • Management Dashboard
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    • Monitoring
    • MySQL HeatWave
    • IAM with Identity Domains
    • IAM without Identity Domains
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    • Network Load Balancer
    • Networking
    • NoSQL Database
    • Notifications
    • Object Storage
    • OCI Cache
    • OCI Control Center
    • OCI Database with PostgreSQL
    • OpenShift Container Platform on OCI
    • Ops Insights
    • Oracle APEX Application Development
    • Oracle Cloud Migrations
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    • OS Management Hub
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    • Pulse
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    • Resource Scheduler
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    • Search with OpenSearch
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    • Stack Monitoring
    • Streaming
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    • Threat Intelligence
    • Vault
    • Vision
      • Overview
      • Batch Processing
      • Analyzing with the API
      • Using Pretrained Models
      • Using Stored Video Analysis Models
      • Using Custom Image Analysis Models
        • Create the Dataset
        • Building a Custom Model
        • Train the Custom Model
        • Call the Custom Model
          • Calling the Custom Model Single Requests
          • Calling the Custom Model Batch Request
        • Custom Model Metrics
      • Limits
      • Data Handling
      • Known Issues
      • Troubleshooting
      • Vision Tutorials
    • Visual Builder
    • Visual Builder Studio
    • VMware Solution
    • Vulnerability Scanning
    • Web Application Acceleration
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Call the Custom Model

Custom models can be called the same as you would call the pretrained model.

You can call the custom model to analyze images as a single request, or as a batch request. You must have done these steps first:
  • Create the Dataset
  • Building a Custom Model
  • Train the Custom Model
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