FirESAM Semantic Segmentation Dataset
Abstract
FirESAM Semantic Segmentation Dataset (also referred to as FSSSD/F3SD) is a fire semantic segmentation dataset built from the FASDD_CV subset of FASDD. Bounding-box labels from FASDD_CV were used as prompts to generate pixel-level fire masks, followed by review and re-annotation to produce the final dataset. Folder structure: F3SD/ all_images/ all_masks/ annotations/ images/ masks/ re_annotations/ images/ masks/ See the README.md file for more info about the zipped folder. This dataset is tied to the manuscript "FirESAM: An Ultra-Lightweight Prompt-in-the-Loop Distillation Model for Real-Time Fire Segmentation on Edge Devices and the FSSSD Dataset."
Fields of Study & Subjects
Advanced Neural Network Applications
Fire Detection and Safety Systems
Domain Adaptation and Few-Shot Learning
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset