Update README.md

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- en
 pipeline_tag: object-detection
 tags:
 - fire
@@ -9,4 +7,34 @@ tags:
 - pytorch
 base_model:
 - Ultralytics/YOLO26
----
+---
+
+# Safety Detection Model
+
+A fine-tuned YOLO model for detecting fire and smoke in images and video streams, built for real-time safety monitoring.
+
+## Model Details
+- **Architecture:** YOLOv26 (fine-tuned)
+- **Framework:** PyTorch
+- **Task:** Object Detection
+
+## Classes
+| ID | Label |
+|----|-------|
+| 0  | fire  |
+| 1  | smoke |
+
+## Dataset
+Fine-tuned on the [Home Fire Dataset](https://www.kaggle.com/datasets/pengbo00/home-fire-dataset) from Kaggle.
+
+## Usage
+```python
+from ultralytics import YOLO
+
+model = YOLO("path/to/model.pt")
+results = model("image.jpg")
+```
+
+## Limitations
+- Trained on home fire scenarios — performance may degrade in industrial or outdoor environments
+- Not validated for production safety-critical systems without further testing