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README.md

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+## 🌟 DataleonLab
+
+Welcome to **DataleonLab**! We are the dedicated research and development department at Dataleon, focusing on innovative deep learning and machine learning models to enhance identity verification, document processing, and security solutions.
+
+### 🏆 About Us
+**DataleonLab** specializes in building custom machine learning solutions to support fraud prevention, document classification, and structured data extraction from documents. With an emphasis on high-performance, private datasets, we leverage state-of-the-art models like Vision Transformers (ViTs), YOLO, and BERT to address complex needs in identity verification, anti-spoofing, and table structure recognition.
+
+### 🔒 Private Model Collections
+Our model catalog includes proprietary collections for:
+- **Anti-Spoofing & Fraud Detection**: Models like `dataleonlabs/hologram-fraude-identification-vit-alpha` and `dataleonlabs/screen-fraude-identification-vit-v2` help identify document authenticity through image classification.
+- **Document Type and Rotation Classification**: Identifying and correcting document orientations with models like `dataleonlabs/vit-document-rotation-classification-v1`.
+- **Table and Text Structure Recognition**: Extracting and classifying headers in loan documents and invoices with `dataleonlabs/ml-loan-table-header-classification-v1` and `dataleonlabs/detr-table-detection-invoice-v1`.
+
+### 💼 Spaces
+In addition to models, we host dedicated **Spaces** for testing, deploying, and fine-tuning our solutions. Spaces include applications for Bert-based image classification, YOLO-based object detection, and structured data recognition, tailored to document processing tasks.