Update README.md
Browse files
README.md
CHANGED
|
@@ -60,4 +60,14 @@ iface = gr.Interface(
|
|
| 60 |
# Launch the app
|
| 61 |
if __name__ == "__main__":
|
| 62 |
iface.launch()
|
| 63 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
# Launch the app
|
| 61 |
if __name__ == "__main__":
|
| 62 |
iface.launch()
|
| 63 |
+
```
|
| 64 |
+
# **Intended Use:**
|
| 65 |
+
|
| 66 |
+
The **Deepfake-Quality-Assess-Siglip2** model is designed to evaluate the quality of deepfake images. It helps distinguish between high-quality deepfakes and those with noticeable issues. Potential use cases include:
|
| 67 |
+
|
| 68 |
+
- **Deepfake Quality Assessment:** Identifying whether a generated deepfake meets high-quality standards or contains artifacts and inconsistencies.
|
| 69 |
+
- **Content Moderation:** Assisting in filtering low-quality deepfake images in digital media platforms.
|
| 70 |
+
- **Forensic Analysis:** Supporting researchers and analysts in assessing the credibility of synthetic images.
|
| 71 |
+
- **Deepfake Model Benchmarking:** Helping developers compare and improve deepfake generation models.
|
| 72 |
+
|
| 73 |
+
This model is intended for research, forensic analysis, and quality control applications rather than real-time detection of deepfake authenticity.
|