Subh775/Threat-Detection-YOLOv8n

object-detection model by Subh775

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Model card & documentation

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YOLOv8, developed by Ultralytics, continues the legacy of the highly popular YOLO (You Only Look Once) series. This version brings significant improvements in both speed and accuracy, making it a top choice for real-time object detection tasks. Its efficient CNN-based architecture is optimized for performance on both CPUs and GPUs. This repository features a fine-tuned YOLOv8 Nano model specifically trained for Threat Detection, designed to identify four critical threat categories with high precision and speed. YOLOv8n Threat Detection is a specialized computer vision model for security and surveillance. Leveraging the speed and efficiency…

Subh775/Threat-Detection-YOLOv8n on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. YOLOv8n based Threat Detection Model
  2. CNNs for Object Detection
  3. Model Overview
  4. Training Dataset
  5. Class Distribution
  6. Sample Annotations
  7. Performance Metrics
  8. Training performance
  9. Confusion matrix
  10. Validation Results
  11. Test Results
  12. Key Performance Highlights

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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

Subh775/Threat-Detection-YOLOv8n is a object-detection model repository published by Subh775 on Hugging Face. The source reports the ultralytics library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
object-detection
Library
ultralytics
Recent downloads (30 days)
1,760
Cumulative likes
4
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
mit
Access
Not gated by Hugging Face
Created
2025-10-07T05:17:40.000Z
Last modified
2025-10-24T08:45:09.000Z

Compatibility and lineage

Reported languages: en

Reported base models: Ultralytics/YOLOv8

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-25T06:49:42.824Z. Daily imports are snapshots, not real-time monitoring.

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