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A Methodological Shift and Expansion in Polygon Data Generation (Quadrilaterals, Pentagons, Hexagons) Research Notes (2025–09–28)
This study completed the dynamic setting of 4000 images, 1,000 per form, with the number of various cases of each shape from 1 to 10. For the next task, apply the previously created json information output. And a total of 4000 images and json are matched. Finally, change to jsonl to complete the work on the local ai learning textbook dataset using colab.
1. Objective
The primary goal is to extend the logic of the previously completed triangle generation script to create datasets for quadrilaterals, pentagons, and hexagons. This process involves analyzing the geometric and mathematical limitations encountered and, to overcome them, shifting from the existing ‘Combinatorial Search’ method to a new methodology: ‘Parametric Generation & Grid Approximation’. The objective is to devise, implement, and validate the efficiency and scalability of this new approach.
2. Summary of Work
Today’s session marked a significant breakthrough, involving a fundamental methodological shift during the expansion of our grid-based polygon dataset generation from triangles to quadrilaterals, pentagons, and hexagons. Initially, by extending the existing…
