Update README.md
Browse files
README.md
CHANGED
|
@@ -14,6 +14,9 @@ tags:
|
|
| 14 |
- explicit-content-detection
|
| 15 |
- media-filter
|
| 16 |
---
|
|
|
|
|
|
|
|
|
|
| 17 |
# **siglip2-mini-explicit-content**
|
| 18 |
|
| 19 |
> **siglip2-mini-explicit-content** is an image classification vision-language encoder model fine-tuned from **`siglip2-base-patch16-512`** for a single-label classification task. It is designed to classify images into categories related to explicit, sensual, or safe-for-work content using the **SiglipForImageClassification** architecture.
|
|
@@ -21,6 +24,9 @@ tags:
|
|
| 21 |
> \[!Note]
|
| 22 |
> This model is intended to promote positive, safe, and respectful digital environments. Misuse is strongly discouraged and may violate platform or regional guidelines. As a classification model, it does not generate unsafe content and is suitable for moderation purposes.
|
| 23 |
|
|
|
|
|
|
|
|
|
|
| 24 |
```py
|
| 25 |
Classification Report:
|
| 26 |
precision recall f1-score support
|
|
|
|
| 14 |
- explicit-content-detection
|
| 15 |
- media-filter
|
| 16 |
---
|
| 17 |
+
|
| 18 |
+

|
| 19 |
+
|
| 20 |
# **siglip2-mini-explicit-content**
|
| 21 |
|
| 22 |
> **siglip2-mini-explicit-content** is an image classification vision-language encoder model fine-tuned from **`siglip2-base-patch16-512`** for a single-label classification task. It is designed to classify images into categories related to explicit, sensual, or safe-for-work content using the **SiglipForImageClassification** architecture.
|
|
|
|
| 24 |
> \[!Note]
|
| 25 |
> This model is intended to promote positive, safe, and respectful digital environments. Misuse is strongly discouraged and may violate platform or regional guidelines. As a classification model, it does not generate unsafe content and is suitable for moderation purposes.
|
| 26 |
|
| 27 |
+
> [!note]
|
| 28 |
+
*SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features* https://arxiv.org/pdf/2502.14786
|
| 29 |
+
|
| 30 |
```py
|
| 31 |
Classification Report:
|
| 32 |
precision recall f1-score support
|