CADSynth: A Dataset for Machining Feature Recognition in B-rep Models

Machining Feature Recognition (MFR) is the process of grouping geometric and topological elements from CAD models from the perspective of manufacturing requirements to obtain machining features with specific engineering semantics, such as holes, slots, steps and fillets. This dataset contains 100,000 synthetic CAD models with machining feature labels, supporting data-driven deep learning methods for machining feature recognition.The CADSynth dataset provides three types of data files for each CAD model. These include a STEP file, which records the three-dimensional shape of the CAD model (compliant with ISO 10303-21 and GB/T 16656 standards), a JSON file that records the machining feature labels corresponding to each topological face (compliant with ECMA-404 and ISO/IEC 21778:2017 standards), and a B-rep data graph representation file (with a .bin extension), which can be used for deep learning training (formatted for the Deep Graph Library, an open-source graph neural network framework).