metadata

license: apache-2.0

library_name: ultralytics tags: - yolo - instance-segmentation - pytorch

YOLOv8 Instance Segmentation Model - Dental X-ray

This is a YOLOv8 instance segmentation model trained for dental X-ray analysis. The model can detect and segment the following classes in X-ray images:

Caries
Crown
Filling
Implant
Missing-tooth-between
Periapical-lesion
Root Piece
Root-Canal-Treatment

Model Details

Model Name: YOLOv8 for Dental X-ray Analysis
Model Type: Instance Segmentation
Number of Classes: 8
Classes: Caries, Crown, Filling, Implant, Missing-tooth-between, Periapical-lesion, Root Piece, Root-Canal-Treatment

Usage

Model Details

Model Type: Instance Segmentation
Library: Ultralytics (YOLOv8)
Framework: PyTorch

This model was trained using the YOLOv8 framework provided by the ultralytics library. It is designed for instance segmentation tasks, particularly in the context of dental X-ray images.

Model Framework

This model was trained using the YOLOv8 framework, which is part of the ultralytics library.

Library: ultralytics
Framework: PyTorch

Load the Model

You can load the model using the ultralytics package:

from ultralytics import YOLO

# Load the model
model = YOLO("nsitnov/8024-yolov8-model/8024.pt")

# Perform inference on an image
results = model("path/to/your/image.jpg")
results.show()  # Display the results