prithivMLmods (Prithiv Sakthi)

reacted to their post with 🚀👍❤️❤️🔥🤗 3 days ago

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3237

VisionGuardrail, a multimodal content-safety classifier based on Qwen3.5, is now available on Hugging Face in 4B and 9B variants. It is a direct upgrade to ImageShield-MMCF, providing improved parental controls through conservative visual content-safety filtering.

More About:
➠ hf.co/blog — https://huggingface.co/blog/prithivMLmods/vision-guardrail-mini-blog

➠ Models:
✦ VisionGuardrail-4B: prithivMLmods/VisionGuardrail-4B
✦ VisionGuardrail-9B: prithivMLmods/VisionGuardrail-9B

➠ Dataset:
✦ ImageShield-Guardrail-Pro: prithivMLmods/ImageShield-Guardrail-Pro

⤷ To learn more, visit the app page or the respective model pages.

posted an update 3 days ago

Post

3237

VisionGuardrail, a multimodal content-safety classifier based on Qwen3.5, is now available on Hugging Face in 4B and 9B variants. It is a direct upgrade to ImageShield-MMCF, providing improved parental controls through conservative visual content-safety filtering.

More About:
➠ hf.co/blog — https://huggingface.co/blog/prithivMLmods/vision-guardrail-mini-blog

➠ Models:
✦ VisionGuardrail-4B: prithivMLmods/VisionGuardrail-4B
✦ VisionGuardrail-9B: prithivMLmods/VisionGuardrail-9B

➠ Dataset:
✦ ImageShield-Guardrail-Pro: prithivMLmods/ImageShield-Guardrail-Pro

⤷ To learn more, visit the app page or the respective model pages.

replied to their post 10 days ago

@evewashere

Qwen3.6 also excels at classification. This dataset was synthesized using the 27B variant of the model series, with approximately 28K image samples and their corresponding guardrail classification pairs.

reacted to their post with 🚀👍❤️🔥🤗 11 days ago

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3064

ImageShield-MMCF — Multimodal Content Filter is a multimodal content-safety classifier built on top of Qwen3.5 and is now available on Hugging Face!

This is the preview initial version (v1.0) of the model, designed to classify visual content as Safe or Unsafe, with a particular focus on detecting Not Safe for Work (NSFW) and other potentially sensitive visual content.

The demo is implemented in the prithivMLmods/opencaption-4b-vl-sft Space, which serves as an active content-safety layer for computer vision tasks. It helps block Not Safe for Work (NSFW) content generation and paves the way for more meaningful and responsible creativity.

⊹ ImageShield-MMCF-0.8B: prithivMLmods/ImageShield-MMCF-0.8B
⊹ ImageShield-MMCF-2B: prithivMLmods/ImageShield-MMCF-2B

2 replies

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posted an update 11 days ago

Post

3064

ImageShield-MMCF — Multimodal Content Filter is a multimodal content-safety classifier built on top of Qwen3.5 and is now available on Hugging Face!

This is the preview initial version (v1.0) of the model, designed to classify visual content as Safe or Unsafe, with a particular focus on detecting Not Safe for Work (NSFW) and other potentially sensitive visual content.

The demo is implemented in the prithivMLmods/opencaption-4b-vl-sft Space, which serves as an active content-safety layer for computer vision tasks. It helps block Not Safe for Work (NSFW) content generation and paves the way for more meaningful and responsible creativity.

⊹ ImageShield-MMCF-0.8B: prithivMLmods/ImageShield-MMCF-0.8B
⊹ ImageShield-MMCF-2B: prithivMLmods/ImageShield-MMCF-2B

2 replies

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reacted to GoktugD's post with ❤️ 11 days ago

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2363

🇹🇷 We trained a 1B OCR model specifically for Turkish enterprise documents.

**Werea-DocOCR-1B v2**

The result surprised us:

LightOnOCR-2 base → **64.2% CER**
Werea-DocOCR v1 → **~8.1% CER**
Werea-DocOCR v2 → **0.15% CER** 🚀

Evaluated on a held-out 72-page test set across 12 Turkish document types and 3 different capture conditions.

📄 12 Turkish enterprise document types
🧪 12,960 synthetic training pages
📱 Digital + scanned + phone photos
📊 Tables → structured Markdown
⚙️ Full-parameter fine-tuning
🖥️ Trained on a single RTX 3090

It handles:

• e-Invoices
• rental contracts
• bank receipts
• payroll documents
• insurance policies
• vehicle documents
• official correspondence
• trade registry documents
• SGK-style tables
• and more.

**Model 🤗**
Werea-co/Werea-DocOCR-1B

**Dataset 📚**
Werea-co/werea-tr-doc-ocr-enterprise-v2

**Werea 🇹🇷**

Werea-co

We're building open AI models from Türkiye.

This is just the beginning.

#HuggingFace #OCR #DocumentAI #TurkishAI #OpenSourceAI #ComputerVision

reacted to their post with 🚀👀👍🔥🤗 20 days ago

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5263

The Qwen3.8 27B demo for object grounding is now available on Hugging Face Spaces.

It features three tasks: Object Detection (Bounding Boxes), Point Localization (Keypoints), and Spatial Guidance (Path Mapping).

Try it now: prithivMLmods/Qwen3.8-27B-Object-Detection

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