You can deploy this model and start earning money today!

wuhp/
rolodemo

Name: rolodemo
Availability: InStock

Views

No views yet

smalltestupload

Model Overview

Architecture: YOLOv11
Training Epochs: 50
Batch Size: 32
Optimizer: auto
Learning Rate: 0.0005
Data Augmentation Level: Moderate

Training Metrics

mAP@0.5: 0.995

Class IDs

Class ID	Class Name
0	Panadol
1	Revanin

Description

This model was trained using the YOLOv11 architecture on a custom dataset. The training process involved 50 epochs with a batch size of 32. The optimizer used was auto with an initial learning rate of 0.0005. Data augmentation was set to the Moderate level to enhance model robustness.

Usage

To use this model for inference, follow the instructions below:

python

from ultralytics import YOLO

# Load the trained model
model = YOLO('best.pt')

# Perform inference on an image
results = model('path_to_image.jpg')

# Display results
results.show()

wuhp/rolodemo