Gun Knife Yolo11n

Final dataset statistics:

Overall class distribution:

Training

• Model: YOLO11n
• Epochs: 50
• Image size: 640
• Batch size: 16
• Device: NVIDIA GeForce RTX 3050 Ti Laptop GPU

Test Results

Intended Use

This model is intended for academic demonstration and comparative evaluation in a computer engineering graduation project. It should not be used as a standalone safety-critical detection system without additional validation.

--- license: mit library_name: ultralytics tags: - object-detection - yolo - yolov11 - gun-detection - knife-detection - streamlit datasets: - custom --- # Gun / Knife Detection - YOLO11n This repository contains the final YOLO11n model trained for gun and knife object detection. ## Classes - `0`: gun - `1`: knife ## Dataset The model was trained on a custom merged gun/knife YOLO dataset. Final dataset statistics: | Split | Images | |---|---:| | Train | 29,446 | | Validation | 3,681 | | Test | 3,681 | Overall class distribution: | Class | Images | Instances | |---|---:|---:| | gun | 23,694 | 25,333 | | knife | 13,103 | 13,324 | ## Training - Model: YOLO11n - Epochs: 50 - Image size: 640 - Batch size: 16 - Device: NVIDIA GeForce RTX 3050 Ti Laptop GPU ## Test Results | Class | Precision | Recall | mAP50 | mAP50-95 | |---|---:|---:|---:|---:| | all | 0.942 | 0.934 | 0.964 | 0.698 | | gun | 0.970 | 0.959 | 0.984 | 0.748 | | knife | 0.915 | 0.909 | 0.944 | 0.647 | ## Intended Use This model is intended for academic demonstration and comparative evaluation in a computer engineering graduation project. It should not be used as a standalone safety-critical detection system without additional validation.