Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
DLC-OD is an object-detection dataset containing 295 hand-sketched digital logic circuit images collected from 20 participants. The dataset includes 1,203 manually annotated instances belonging to seven logic-gate classes: AND, NAND, NOR, NOT, OR, XNOR, and XOR. The images and bounding-box annotations are provided in YOLO format. In the deposited version, the dataset is divided into 206 training images containing 831 instances, 60 validation images containing 255 instances, and 29 test images containing 117 instances. The dataset was developed to support research on hand-drawn logic-gate detection, symbolic object recognition, explainable artificial intelligence, class activation mapping, and educational engineering applications. Drawing variations among participants provide differences in symbol shape, stroke thickness, orientation, and circuit layout.
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