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README.md

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 license: cc-by-4.0
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+# MultiFire20K Dataset
+
+## Overview
+
+MultiFire20K is a UAV-based dataset for fire monitoring, designed for image classification, segmentation, and multi-task learning. It contains 20,500 images extracted from 67 UAV videos captured across diverse urban and rural environments worldwide. 【1-6fa506】
+
+## Statistics
+
+| Split | Images |
+|--------|--------:|
+| Train | 14,350 |
+| Validation | 3,075 |
+| Test | 3,075 |
+| Total | 20,500 |
+
+## Classes
+
+- Fire
+- Normal
+
+## Environment Types
+
+- Urban (Build-Up)
+- Rural (Natural Landscape)
+
+## Source
+
+Original dataset:
+
+https://zenodo.org/records/17047113
+
+## Citation
+
+```bibtex
+@article{shianios2025multifire20k,
+  title={MultiFire20K: A semi-supervised enhanced large-scale UAV-based benchmark for advancing multi-task learning in fire monitoring},
+  author={Shianios, Demetris and Kolios, Panayiotis and Kyrkou, Christos},
+  journal={Computer Vision and Image Understanding},
+  volume={254},
+  pages={104318},
+  year={2025},
+  publisher={Elsevier}
+}
+```