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Image Annotation

Pixel-perfect annotation for computer vision models. From bounding boxes to instance segmentation.

Interactive Preview

LIVE
Autonomous Driving Traffic Scene Analysis and Object Detection
Vehicle99.2%
Person92%
CAM_04_LIVE_FEED
OBJECT_DETECTION_ACTIVE
Output PreviewJSON
{
  "image_id": "STREET_CAM_04",
  "objects": [
    {
      "id": 1,
      "class": "vehicle",
      "bbox": [550, 250, 280, 180],
      "confidence": 0.99,
      "attributes": { "color": "silver", "type": "sedan" }
    },
    {
      "id": 2,
      "class": "person",
      "bbox": [1440, 200, 60, 250],
      "confidence": 0.96,
      "action": "walking"
    }
  ],
  "meta": { "time": "14:23:01", "weather": "clear" }
}

Capabilities & Features

  • 2D Bounding BoxesEnterprise grade precision
  • Polygons & ContoursEnterprise grade precision
  • Keypoint AnnotationEnterprise grade precision
  • Semantic SegmentationEnterprise grade precision

Quality Assurance Process

Every project undergoes a rigorous 3-step verification process: Annotator Self-Check, Senior Reviewer Audit, and Automated Consistency Checks. We guarantee 98%+ accuracy on Golden Sets.

Start a Pilot
How it flows

Image Annotation, as one route

From your raw data to a model-ready dataset, with quality gates you can audit.

  1. Business problem

    Your raw data

    Image

  2. VentureSoft thinking

    Guidelines and gold set

    Agreed with your ML team

  3. Technology

    2D Bounding Boxes

  4. Technology

    Polygons & Contours

  5. Technology

    Three-tier QA

    100% review, golden-set audit

  6. Measured outcome

    Model-ready dataset

    Delivered in your format

Where it is usedRetail shelf intelligenceAutonomous drivingMedical imagingSecurity and surveillance
Engagement

From pilot to production

  1. 1
    Phase 1

    Sample and scope

    Send a sample; we return a labeled subset with QA metrics.

  2. 2
    Phase 2

    Guidelines

    Schema, edge cases, and acceptance criteria versioned together.

  3. 3
    Phase 3

    Pilot batch

    Up to 5,000 annotations through the three-tier workflow.

  4. 4
    Phase 4

    Scale

    Dedicated pod with API delivery into your pipeline.

  5. 5
    Destination

    Continuous improvement

    Gold sets and guidelines evolve with your model.

Start with a pilot dataset

Send us a sample and we will return annotated data with QA metrics within days.