---
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