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SAM3 Image/Video Segmentation

Segment images with precision using SAM3 and AI agents

Build an image segmentation pipeline powered by SAM3 (Segment Anything Model 3) with an AI agent managing the workflow. The agent interprets natural language segmentation requests, selects appropriate prompting strategies, and post-processes results for your specific use case.

Stack

EigenForge Agent ForgeSAM3 modelImage processing toolsGPU inference runtime

Implementation

  1. 1

    Set up SAM3 inference

    Deploy SAM3 as a tool accessible to your agent. Configure GPU runtime for fast inference on high-resolution images.

  2. 2

    Build the segmentation agent

    Create an agent that accepts natural language requests ('segment the person', 'isolate the product') and translates them into appropriate SAM3 prompts — point, box, or text.

  3. 3

    Add iterative refinement

    The agent evaluates segmentation results and iteratively refines prompts for better accuracy. Handle edge cases like overlapping objects and fine details.

  4. 4

    Implement post-processing

    Build tools for mask refinement, edge smoothing, alpha matte generation, and transparent PNG export. Configure quality levels for different use cases.

  5. 5

    Deploy for batch processing

    Set up a pipeline for processing image batches. Support concurrent segmentation with auto-scaling GPU resources.

What You Get

  • Natural language control over image segmentation
  • Iterative refinement for pixel-accurate results
  • Batch processing with auto-scaling GPU infrastructure
  • Production-ready with quality verification and monitoring

Related Blueprints

SAM3 Video Segmentation

AI Background Removal with SAM3

AI Object Detection & Segmentation

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