Glossary
Training Data
Training data is the labeled visual data used to train AI Vision models.
What training data means in practice
raining data defines what an AI Vision model can reliably detect in real operations. Teams gather representative images and video and label what matters, such as near-misses, PPE, spills, or restricted-zone entry. The dataset reflects real-world conditions: camera angles, lighting shifts, occlusions, weather, layouts, and both normal and edge-case scenarios. Quality and consistency of labels directly affect accuracy. Strong training data supports scalable rollout and ongoing performance as sites and conditions change, while poor or biased data increases noise, tuning effort, and operational risk.
Why training data matters for enterprise teams
- Improves detection accuracy
- Reduces false positives
- Supports scalable deployment
- Provides for continuous improvement
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