HDL: Hand-drawn Digital Logic Gates Dataset
📌 Dataset Summary
HDL (Hand-drawn Digital Logic Gates) is the first balanced image and tabular dataset dedicated to the classification of hand-drawn digital logic gates. The dataset is designed primarily for machine learning education, computer vision research, and AI-assisted electronics applications.
HDL contains 1,200 hand-drawn images covering the 8 fundamental digital logic gates (AND, OR, NOT (INVERTER), BUFFER, NAND, NOR, XOR, and XNOR), with 150 images per class, ensuring perfect class balance.
🧠 Motivation
Most existing handwritten or hand-drawn datasets focus on:
* Digits (e.g., MNIST)
* Characters and scripts
However, no publicly available balanced dataset existed for hand-drawn digital logic gates, despite their importance in:
* Digital electronics education
* Circuit analysis
* AI-assisted schematic interpretation
HDL was created to fill this gap and to support:
* Teaching Machine Learning to engineering students
* N…
