> For the complete documentation index, see [llms.txt](https://neuraldefend.gitbook.io/neural-defend/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://neuraldefend.gitbook.io/neural-defend/benchmark-image-video-detecion.md).

# BenchMark - Image/Video Detecion

⚠️ **Note:** While NeuroVerify-Image demonstrates high accuracy on current benchmarks, performance may vary when evaluated against newly emerging deepfake generation techniques.\
We are continuously committed to improving our models and release timely updates to ensure robust performance against evolving threats.

## 🧠 NeuroVerify-Image Benchmark Report

**Version 1.0**\
**Released:** June 12, 2025

***

### 👋 Welcome

We're excited to share the performance results of **NeuroVerify-Image**, our cutting-edge solution for detecting deepfake images.\
This report highlights its reliability and precision, tailored to meet your needs with a robust accuracy of **96.56%**.\
Let’s dive into what makes this technology stand out!

***

### 🗂 Executive Summary

NeuroVerify-Image is designed to tackle the growing challenge of deepfake images. Built by Neural Defend, it delivers consistent and dependable results across a massive dataset of **503,422 images** from global benchmark datasets, achieving an impressive accuracy of **96.56%**.\
This report breaks down its performance for you.

***

### 1. 📊 Benchmark Overview

#### 1.1 🔬 Testing Scope

We tested NeuroVerify-Image with a total of **503,422 images** in one thorough phase.

#### 1.2 📂 Dataset Coverage

Our dataset includes:

* **258,503 real images**
* **244,919 fake images**

These were sourced from diverse regions across India and global benchmark datasets to ensure real-world applicability

Note : We have Propeitary data more than 10,000 Gbs and we havent used this data in our training pipeline.

This comprehensive dataset coverage ensures our solution is robust against various deepfake generation techniques and across diverse demographic representations.

***

### 2. 📈 Performance Metrics

#### 2.1 📌 Test Results (503,422 Samples)

**Dataset Composition**

* Total Files: 503,422
* Real Files: 258,503
* Fake Files: 244,919

**Key Metrics:**

| Metric    | Value   |
| --------- | ------- |
| Accuracy  | 98.90 % |
| Precision | 99.16 % |
| Recall    | 98.69 % |
| F1 Score  | 98.92 % |

**Detection Metrics:**

| Metric          | Value    |
| --------------- | -------- |
| True Positives  | 254 ,476 |
| True Negatives  | 243 ,408 |
| False Positives | 2 ,155   |
| False Negatives | 3 ,383   |

**Accuracy Breakdown:**

| Metric              | Value   |
| ------------------- | ------- |
| Real Accuracy (TPR) | 98.69 % |
| Fake Accuracy (TNR) | 98.69 % |
| Specificity         | 99.12 % |
| False Positive Rate | 0.88 %  |
| False Negative Rate | 1.31 %  |

***

### 3. 🧪 Technical Analysis

#### 3.1 ✅ Performance Stability

* **Accuracy:** 98.69% across all 503,422 samples
* **Precision:** 99.16 %
* **Recall:** 98.69 %
* **F1 Score:** 98.92 %

#### 3.2 🌍 Cross-Dataset Performance

| Dataset                      | Accuracy |
| ---------------------------- | -------- |
| FaceForensics++, FaceShifter | 98.3%    |
| CelebDF (v1 & v2)            | 99.1%    |
| Deepfake Detection Challenge | 99.8%    |
| Regional datasets            | 98.7%    |

***

***

### 4. 🧰 Technical Specifications

#### 4.1 🖥 System Requirements

* Compatible with standard image processing tools
* Supports formats like JPEG, PNG
* Offers real-time processing
* Scalable for deployment at any level

#### 4.2 🔌 Integration Options

* Easy API integration
* Standalone setup
* Cloud or on-premises deployment

***

### 5. 🏁 Conclusion

NeuroVerify-Image excels at spotting deepfake images with a steady **98.90% accuracy** and **99.16% precision** across 503,422 images from 10 benchmark datasets.\
It’s a dependable tool for anyone needing top-notch image authentication.\
\
\
© 2025 Neural Defend. All Rights Reserved.\
\&#xNAN;*Confidential | Prepared by Neural Defend | Benchmark Report – NeuroVerify Image/Video 1.0*


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