Create README.md

README.md

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+---
+language:
+- en
+library_name: ultralytics
+pipeline_tag: image-segmentation
+tags:
+- yolo
+- image-segmentation
+- yolo11
+- yolov11
+---
+
+# Number and Operator Detection Based on YOLO11x
+
+This repository contains a PyTorch-exported model for detecting sidewalk and so on.. using the YOLO11 architecture. The model has been trained to recognize these symbols in images and return their locations and classifications.
+
+## Model Description
+
+The YOLO11s model is optimized for detecting the following:
+
+```text
+#class
+cover
+curb
+hole
+lane
+sidewalk
+```
+## How to Use
+
+To use this model in your project, follow the steps below:
+
+### 1. Installation
+
+Ensure you have the `ultralytics` library installed, which is used for YOLO models:
+
+```bash
+pip install ultralytics
+```
+
+### 2. Load the Model
+
+You can load the model and perform detection on an image as follows:
+```python
+from ultralytics import YOLO
+
+# Load the model
+model = YOLO("./yolo11m-sidewalk-seg.pt")
+
+# Perform detection on an image
+results = model("image.png")
+
+# Display or process the results
+results.show()  # This will display the image with detected objects
+```
+
+![](result.png)
+
+#yolo11