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wuhp/
dog-yolo

Name: dog-yolo
Availability: InStock

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dog-75e-11n

Model Overview

Architecture: YOLOv11
Training Epochs: 75
Batch Size: 32
Optimizer: auto
Learning Rate: 0.0005
Data Augmentation Level: Moderate

Training Metrics

mAP@0.5: 0.99457

Class IDs

Class ID	Class Name
0	Full
1	Head

Datasets Used

doggo-detection-assignment-2_v2

Class Image Counts

Class Name	Image Count
Full	27965
Head	27959

Description

This model was trained using the YOLOv11 architecture on a custom dataset. The training process involved 75 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/dog-yolo