Image Annotation
Pixel-perfect annotation for computer vision models. From bounding boxes to instance segmentation.
Interactive Preview

{
"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.
Image Annotation, as one route
From your raw data to a model-ready dataset, with quality gates you can audit.
- Business problem
Your raw data
Image
- VentureSoft thinking
Guidelines and gold set
Agreed with your ML team
- Technology
2D Bounding Boxes
- Technology
Polygons & Contours
- Technology
Three-tier QA
100% review, golden-set audit
- Measured outcome
Model-ready dataset
Delivered in your format
From pilot to production
Sample and scope
Send a sample; we return a labeled subset with QA metrics.
Guidelines
Schema, edge cases, and acceptance criteria versioned together.
Pilot batch
Up to 5,000 annotations through the three-tier workflow.
Scale
Dedicated pod with API delivery into your pipeline.
Continuous improvement
Gold sets and guidelines evolve with your model.
- 1Phase 1
Sample and scope
Send a sample; we return a labeled subset with QA metrics.
- 2Phase 2
Guidelines
Schema, edge cases, and acceptance criteria versioned together.
- 3Phase 3
Pilot batch
Up to 5,000 annotations through the three-tier workflow.
- 4Phase 4
Scale
Dedicated pod with API delivery into your pipeline.
- 5Destination
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.