Update README.md

README.md

@@ -1,10 +1,42 @@
-title: Hv Model
-emoji: 💻
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 5.1.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: FOD
+---
+tags:
+- ultralytics
+- yolov8
+- object-detection
+- rock-classification
+license: apache-2.0
+datasets:
+- your-dataset-name
+model-index:
+- name: Rock vs Non-Rock YOLOv8 Model
+  results:
+  - task:
+      type: object-detection
+    dataset:
+      name: Rock vs Non-Rock Dataset
+      type: custom
+    metrics:
+      - type: mAP
+        value: 0.85  # Replace with your actual value
+---
+
+# Rock vs Non-Rock YOLOv8 Model
+
+This model was trained using YOLOv8 to classify rocks vs. non-rocks in an industrial setting. It is designed to aid in automated sorting processes by detecting non-rock objects in a conveyor belt system.
+
+## Model Details
+
+- **Framework**: YOLOv8
+- **Training Data**: Custom rock vs. non-rock dataset
+- **Purpose**: Object detection to differentiate between rocks and non-rock objects
+- **License**: Apache 2.0
+
+## Usage
+
+To load the model:
+
+```python
+from ultralytics import YOLO
+
+# Load the model
+model = YOLO('hvc_model/best.pt')  # Update this path based on your Hugging Face model path