Guns-100-11m

Model Overview

Architecture: YOLOv11
Training Epochs: 100
Batch Size: 32
Optimizer: auto
Learning Rate: 0.0005
Data Augmentation Level: Moderate

Training Metrics

• [email protected]: 0.85476

Class IDs

Class ID	Class Name
0	Gun
1	Knife

Datasets Used

• gun-detection-xwosb_v8
• gun-sqvhj_v1
• people_with_guns_2-pvcnk_v9
• police1_v1
• soldier-wclp7_v1
• test-e46au_v1
• weapon-rl8c4_v3
• weapondetection-fdzlo_v4
• weapons-detection-x9fnq_v3
• wepon_detection_v1

Class Image Counts

Class Name	Image Count
Gun	44219
Knife	4038

Description

This model was trained using the YOLOv11 architecture on a custom dataset. The training process involved 100 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:

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()