دانلود گزارش IEEE DataPort : Synthetic Die-to-Database (D2DB) Lithography Layout Dataset - 2025

PNG, CSV نویسندگان: BALACHANDAR JEGANATHAN
جزئیات
فرمت: PNG, CSV ناشر: IEEE DataPort تاریخ انتشار نسخه الکترونیکی : 12/07/2025
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شابک: 10.21227/q1bh-dh57
توضیحات
This dataset contains 20,000 synthetic 128×128 layout-style images for D2DB inspection research. Each sample includes a binary CAD image (lines, rectangles, vias), a physics-rendered lithography-style image, and a SEM-like noisy image. Three classes are provided: clean (no defect), geom_var (geometric/process variation only), and topo_defect (true topological defects: bridge, open, missing_via). Metadata (metadata.csv) lists ID, split (train/val/test), class, defect_type, and paths to cad/physics/sem PNGs. Generated with the accompanying Python script using only common libraries (numpy, OpenCV, Pillow, pandas). Suitable for benchmarking die-to-database and defect detection methods without proprietary layout data.
1,499,000 تومان 299,800 تومانبن تخفیف زمان تحویل: آنی