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SERVICE 04Validation Suite
Validation & Benchmarking
A dataset validation and benchmarking suite that checks spatial alignment, scores difficulty, and packages datasets into benchmark-ready formats.
Validation Suite
A dataset validation and benchmarking suite that checks spatial alignment, scores difficulty, and packages datasets into benchmark-ready formats.
OVERVIEW
Validation Suite is the quality assurance layer of the pipeline. It verifies that generated datasets maintain spatial alignment with the original environment, scores each clip by difficulty level (easy/medium/hard based on occlusion, lighting, and event complexity), and packages everything into benchmark-ready formats. This enables fair model comparison across teams and reproducible train/val/test splits based on difficulty distribution, turning raw generated data into scientifically rigorous benchmark datasets.
TECHNOLOGY
Verifies that generated datasets maintain geometric consistency with the original spatial model and camera calibration.
Multi-factor difficulty scoring based on occlusion level, lighting conditions, event complexity, and visual clarity.
Automated train/val/test split generation based on difficulty distribution ensuring balanced representation across sets.
Packages validated datasets into standard benchmark formats with metadata, leaderboard integration, and evaluation scripts.
CAPABILITIES
Verify that generated data maintains geometric consistency with the real environment spatial model.
Automatically split datasets into train/val/test sets based on difficulty scores for balanced model evaluation.
Visual reports on spatial accuracy, difficulty distribution, label consistency, and dataset completeness.
Export validated datasets in standard benchmark formats for fair model comparison across teams.
Compare dataset versions to detect quality regressions when pipeline parameters change.
Auto-generate evaluation scripts and metrics for the specific event types in the dataset.
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