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      Unity Computer Vision

      Insufficient training data? Hard-to-mimic edge cases? Accelerate model training with a smart computer vision data generation platform.

      A game-changer for computer vision training

      Unity?Computer Vision solutions help you overcome the barriers of real-world data generation by creating labeled synthetic data at scale. This data can be used to train computer vision models for object detection, image segmentation, and classification across retail, manufacturing, security, agriculture and healthcare.

      Use cases


      Grab and go: Detect shelf or cart items

      Inventory: Audit shelves and ensure safety

      Visual search: Deploy smart camera image recognition

      Find threats: Identify abnormal store activity


      Crowd analysis: Track crowd movement and changes in pattern

      Hazard monitoring: Detect intrusions or public safety threats?


      Inventory management: Monitor warehouse inventory levels

      Defect reduction: Identify abnormalities and issue alerts

      Sorting: Reduce assembly line categorization issues


      Plant health detection: Determine harvest time and analyze crop yield?

      Livestock management: Count, recognize and monitor livestock

      Forestry: Monitor tree health and fire hazards


      Robotics Warehouse

      Key benefits

      • Auto-labeled: No human annotation required?
      • Private: Compliant with privacy standards
      • Safe: Recreate edge-case scenarios
      • Iterative: Generate variations in datasets with simple code changes
      • Variable and scalable: Produce training data that captures real-world complexity
      • Affordable and accessible: Small ML teams can generate massive datasets within budget


      Unity Perception Howit Works

      Object-model training pipeline with synthetic data

      There are three distinct stages in the synthetic data training pipeline:?

      1. Content creation
      2. Synthetic data generation and analytics
      3. Model training
      Content creation

      There are several ways to create content. You can check out the Asset Store, scan your assets into Unity, or contact our team to help you with asset creation in Unity.

      Synthetic data generation

      Unity offers tools to generate synthetic datasets for use in perception-based computer vision tasks such as object detection, semantic segmentation, and more. You do not need prior experience with Unity or C# to get started.

      Model training

      You can either use your existing ML pipeline or implement using our suggested solution, Google AI Platform.?

      Generate large-scale synthetic datasets to accelerate computer vision training

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