metadata
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
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:
from ultralytics import YOLO
# Load the model
model = YOLO('hvc_model/best.pt') # Update this path based on your Hugging Face model path