MFGNet Gear: A Synthetic 3D Dataset for Geometric Defect Detection in Gears This mirror contains mesh files only ( .ply format, ~11 GB). For the full dataset including point clouds ( .txt , ~30 GB), download from: Deep Blue Data — DOI: 10.7302/qrdj n812 For code, documentation, and data generation scripts, see the GitHub repository. Dataset Overview Property Value Total parts 24,000 Gear designs 12 (T20–T40 series) Quality classes 4 (G0, P0, W0, R0) Parts per class 500 Mesh format .ply (polygon mesh) — hosted here Point cloud format .txt (x,y,z comma separated) — available on Deep Blue Data Quality classes: Label Class Description G0 Good / nominal No defect P0 Pitting Surface fatigue damage W0 Tooth wear Material loss due to friction R0 Root breakage Fracture at tooth root Repository Structure File Naming Convention Citation A dataset descriptor paper is in preparation.
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