Video Annotation
Temporal consistency tracking for autonomous driving, surveillance, and sports analytics.
Interactive Preview
{
"frame_id": 450,
"timestamp": "00:00:15.000",
"objects": [
{
"track_id": 12,
"class": "vehicle",
"box_2d": [410, 320, 100, 50],
"velocity": { "x": 12.5, "y": 0.2 },
"action": "turning_left"
}
]
}Capabilities & Features
- Object TrackingEnterprise grade precision
- Event TaggingEnterprise grade precision
- Temporal SegmentationEnterprise grade precision
- Action RecognitionEnterprise 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.
Video Annotation, as one route
From your raw data to a model-ready dataset, with quality gates you can audit.
- Business problem
Your raw data
Video
- VentureSoft thinking
Guidelines and gold set
Agreed with your ML team
- Technology
Object Tracking
- Technology
Event Tagging
- 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.