feat: readme

README.md

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 pretty_name: IGNIS - Intelligent Geospatial Network for Incendiary Surveillance
 size_categories:
 - n<1K
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+---
+
+# IGNIS - Intelligent Geospatial Network for Incendiary Surveillance
+
+A dataset for **image segmentation of wildfires** in satellite/aerial imagery. The dataset contains **paired images and labels**, where each label highlights wildfire-affected regions.
+
+## Dataset Summary
+
+This dataset was created to support research in **wildfire detection, monitoring, and environmental risk assessment**. It can be used for training and evaluating segmentation models.
+
+* **Task:** Image Segmentation
+* **Domain:** Remote sensing / Environmental monitoring
+* **License:** CC BY 4.0
+
+## Supported Tasks
+
+* **Image Segmentation** – Identify wildfire regions pixel-by-pixel.
+* **Potential Applications:**
+
+  * Early wildfire detection
+  * Environmental monitoring
+  * Risk modeling and prevention systems
+
+## Dataset Structure
+
+### Data Splits
+
+The dataset is divided into:
+
+* `train`
+* `validation`
+* `test`
+
+## Data Fields
+
+* **image** (`Image`) – RGB image
+* **label** (`Label`) – TXT file containing coordinates for the polygons following YOLOv11 format
+
+Example:
+
+```
+{
+  "image": "train/images/image_001.jpg",
+  "label": "train/labels/image_001.txt"
+}
+```
+
+## Dataset Creation
+
+### Motivation
+
+Wildfires are an increasing threat worldwide. This dataset was built to help researchers and engineers develop segmentation models that can detect wildfire-affected areas in aerial/satellite imagery.
+
+This dataset is originally a personal project, but anyone with expert knowledge in meteorological, geographic, geophisical and related areas might feel free to reach out and help expand the dataset and increase its quality.
+
+### Source Data
+
+* **Collection Process:** Images were sourced from open satellite/aerial datasets.
+* **Annotation Process:** Masks were generated using a mix between manual labelling and automatic polygon generation thanks to Roboflow's tools.
+
+### Annotations
+
+* **Annotation Guidelines:** Each class is labeled as:
+
+  * 0 → Burned Ground (burnt)
+  * 1 → Smoke Cloud (smoke_cloud)
+  * 2 → Smoke Column (smoke_column)
+  * 3 → Wildfire (wildfire)
+
+## Licensing Information
+
+* **Dataset License:** CC BY 4.0
+
+## Citation
+
+If you use this dataset, please cite:
+
+```
+@dataset{ignis,
+  title = {Intelligent Geospatial Network for Incendiary Surveillance},
+  author = {Matheus J. G. Silva},
+  year = {2025},
+  url = {https://huggingface.co/datasets/matjs/ignis}
+}
+```
+
+## Acknowledgements
+
+* [NASA FIRMS - Fire Information for Resource Management System](https://firms.modaps.eosdis.nasa.gov/)
+* [NASA Earth Observatory](https://earthobservatory.nasa.gov)
+* Inspired by the growing need for **AI-assisted wildfire monitoring**.