Synthetic Industrial Parts dataset (SIP-17)

The Synthetic Industrial Parts dataset (SIP-17) is designed for the Sim-to-Real challenge in Industrial Parts Classification.

The dataset comprises 17 objects that represent six typical industry use cases. The first four use cases require the classification of isolated parts, and the remaining two (Oring_assembly and Wheel_assembly) require the classification of assembled parts.

Please see more information and download the dataset at: SIP-17