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
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The HF Inference API does not support object-detection models for ultralytics library.