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README.md
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TTA-Sim2Real is a mixed-data object detection dataset designed for sim-to-real research in industrial assembly environments. It includes spontaneous real-world footage , controlled real data captured via cobot-mounted camera , and domain-randomized synthetic images generated using Unity, targeting seven classes related to tidal turbine components at various stages of assembly. The dataset supports reproducibility and benchmarking for vision-based digital twins in manufacturing.
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✅ Dataset Card Abstract
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TTA-Sim2Real is a multi-source object detection dataset specifically designed for sim-to-real transfer in industrial assembly tasks. It contains over 21,000 annotated images across three data types:
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TTA-Sim2Real is a mixed-data object detection dataset designed for sim-to-real research in industrial assembly environments. It includes spontaneous real-world footage , controlled real data captured via cobot-mounted camera , and domain-randomized synthetic images generated using Unity, targeting seven classes related to tidal turbine components at various stages of assembly. The dataset supports reproducibility and benchmarking for vision-based digital twins in manufacturing.
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✅ Dataset Card Abstract
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TTA-Sim2Real is a multi-source object detection dataset specifically designed for sim-to-real transfer in industrial assembly tasks. It contains over 21,000 annotated images across three data types:
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