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| | # 🟦 slab.ai |
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| | **AI-powered authentication and grading for trading cards** |
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| | ### 🔍 What We Do |
| | We’re building an end-to-end computer vision platform that empowers collectors, sellers, shops, and marketplaces with accurate, explainable grading and verification tools. Our system combines machine learning, tamper-evident slabs, and hybrid HITL workflows to ensure trust and transparency in the collectibles space. |
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| | ### 🚀 Featured Repos |
| | - [`slabvit`](https://huggingface.co/slab-ai/slabvit) – Vision Transformer-based grading model |
| | - [`slab-preprocessing`](https://huggingface.co/slab-ai/slab-preprocessing) – Image cleanup and alignment pipeline |
| | - [`slab-text`](https://huggingface.co/slab-ai/slab-text) – Natural language report generation |
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| | ### 🧠 Grading Pipeline Highlights |
| | - Preprocessing for edge detection, centering, and surface damage |
| | - ViT-based model inference for multi-label scoring |
| | - Firebase-backed versioned report generation with tamper detection |
| | - HITL audit review, escalation, and override capabilities |
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| | ### 🌐 Links |
| | - 🔗 [Website](https://slab-ai.com) |
| | - 🧪 [Model Cards](https://huggingface.co/slab-ai) |
| | - 🛠️ [Label Studio Integration (WIP)](https://labelstud.io) |
| | - 💬 Discord: coming soon |
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| | ### 👥 Join Us |
| | We’re actively developing across mobile, backend, and AI infrastructure. If you’re interested in contributing or collaborating, reach out through our website or follow us here on Hugging Face. |
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| | © slab.ai 2025 |
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