# Interactive Interface For Semantic Segmentation Dataset Synthesis

Source: [Interactive Interface For Semantic Segmentation Dataset Synthesis](<https://www.sota2.com/research/paper/68fa79b11e209131cea7eee8>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-15T05:00:04.591Z

Authors: Ngoc-Do Tran, Minh-Tuan Huynh, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le

Published: 2025-06-30T02:23:34.000Z

## Abstract

The rapid advancement of AI and computer vision has significantly increased the demand for high-quality annotated datasets, particularly for semantic segmentation. However, creating such datasets is resource-intensive, requiring substantial time, labor, and financial investment, and often raises privacy concerns due to the use of real-world data. To mitigate these challenges, we present SynthLab, consisting of a modular platform for visual data synthesis and a user-friendly interface. The modular architecture of SynthLab enables easy maintenance, scalability with centralized updates, and seamless integration of new features. Each module handles distinct aspects of computer vision tasks, enhancing flexibility and adaptability. Meanwhile, its interactive, user-friendly interface allows users to quickly customize their data pipelines through drag-and-drop actions. Extensive user studies involving a diverse range of users across different ages, professions, and expertise levels, have demonstrated flexible usage, and high accessibility of SynthLab, enabling users without deep technical expertise to harness AI for real-world applications.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Semantic Segmentation on flood dataset](<https://www.sota2.com/research/sota/semantic-segmentation-on-flood-dataset.md>): Semantic segmentation; flood dataset; mIoU: 73.17.

- [Semantic Segmentation on PASCAL VOC (val)](<https://www.sota2.com/research/sota/semantic-segmentation-on-pascal-voc-val.md>): Semantic segmentation; PASCAL VOC (val); mIoU: 51.61.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2506.23470>)

[PDF](<https://arxiv.org/pdf/2506.23470.pdf>)