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README.md

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+# 🔍 OverseerAI
+
+## Mission
+OverseerAI is dedicated to advancing open-source AI safety and content moderation tools. We develop state-of-the-art models and datasets for brand safety classification, making content moderation more accessible and efficient for developers and organizations.
+
+## 🌟 Our Projects
+
+### Datasets
+#### [BrandSafe-16k](https://huggingface.co/datasets/OverseerAI/BrandSafe-16k)
+A comprehensive dataset for training brand safety classification models, featuring 16 distinct risk categories:
+- B1-PROFANITY: Explicit language and cursing
+- B2-OFFENSIVE_SLANG: Informal offensive terms
+- B3-COMPETITOR: Competitive brand mentions
+- B4-BRAND_CRITICISM: Negative brand commentary
+- B5-MISLEADING: Deceptive or false information
+- B6-POLITICAL: Political content and discussions
+- B7-RELIGIOUS: Religious themes and references
+- B8-CONTROVERSIAL: Contentious topics
+- B9-ADULT: Adult or mature content
+- B10-VIOLENCE: Violent themes or descriptions
+- B11-SUBSTANCE: Drug and alcohol references
+- B12-HATE: Hate speech and discrimination
+- B13-STEREOTYPE: Stereotypical content
+- B14-BIAS: Biased viewpoints
+- B15-UNPROFESSIONAL: Unprofessional content
+- B16-MANIPULATION: Manipulative content
+
+### Models
+
+#### [vision-1](https://huggingface.co/OverseerAI/vision-1)
+Our flagship model for brand safety classification:
+- Architecture: Meta Llama 3.1 (15GB)
+- Full precision model optimized for high accuracy
+- Trained on BrandSafe-16k dataset
+- Ideal for production deployments with high-end GPU resources
+
+#### [vision-1-mini](https://huggingface.co/OverseerAI/vision-1-mini)
+A lightweight, optimized version of vision-1:
+- Size: 4.58 GiB
+- Architecture: Llama 3.1 8B
+- Quantization: GGUF V3 (Q4_K)
+- Optimized for Apple Silicon
+- Fast load time: