Create README.md (#21)

README.md

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+<div align="center">
+  <p>
+    <a href="https://ultralytics.com/" target="_blank">
+      <img width="100%" src="https://github.com/raw/ultralytics/assets/main/im/banner-yolo-vision-2023.png"></a>
+  </p>
+<br>
+
+<div align="center">
+  <a href="https://github.com/ultralytics" style="text-decoration:none;">
+    <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
+  <a href="https://www.linkedin.com/company/ultralytics/" style="text-decoration:none;">
+    <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-linkedin.png" width="2%" alt="" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
+  <a href="https://twitter.com/ultralytics" style="text-decoration:none;">
+    <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-twitter.png" width="2%" alt="" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
+  <a href="https://youtube.com/ultralytics" style="text-decoration:none;">
+    <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-youtube.png" width="2%" alt="" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
+  <a href="https://www.tiktok.com/@ultralytics" style="text-decoration:none;">
+    <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="2%" alt="" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
+  <a href="https://www.instagram.com/ultralytics/" style="text-decoration:none;">
+    <img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-instagram.png" width="2%" alt="" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="" />
+  <a href="https://ultralytics.com/discord" style="text-decoration:none;">
+    <img src="https://github.com/ultralytics/assets/blob/main/social/logo-social-discord.png" width="2%" alt="" /></a>
+</div>
+</div>
+
+# 🌟 Ultralytics Assets Repository
+
+## 📋 Overview
+
+Welcome to the [Ultralytics](https://ultralytics.com) Assets repository! This repository serves as a storage for visual assets like banners, logos, and more importantly, pre-trained models and datasets. These assets are designed to work seamlessly with [Ultralytics YOLO](https://github.com/ultralytics/ultralytics) implementations, aiding in [object detection](https://docs.ultralytics.com/tasks/detect/), [instance segmentation](https://docs.ultralytics.com/tasks/segment/), [image classification](https://docs.ultralytics.com/tasks/classify/), [pose estimation](https://docs.ultralytics.com/tasks/pose/), and multi-object [tracking](https://docs.ultralytics.com/modes/track/).
+
+## 🛠 Features
+
+1. **🖼 Visual Assets**: Banners and logos to use in your projects or for showcasing your use of Ultralytics resources.
+2. **🤖 Models**: Pre-trained models that are ready for download and immediate use. These models are optimized for various computer vision tasks.
+3. **📦 Datasets**: Collections of annotated data that can be used for training or validating models.
+
+## 💡 Usage
+
+### 📥 Autodownload of Pretrained Models
+
+When using Ultralytics YOLO APIs, if a pre-trained model is not found locally, it will be automatically downloaded from this repository.
+
+Here's a simple example using Python:
+
+```python
+from ultralytics import YOLO
+
+# Load a pretrained YOLOv8n model
+model = YOLO('yolov8n.pt')
+
+# Define path to the image file
+source = 'path/to/image.jpg'
+
+# Run inference on the source
+results = model(source)  # Returns a list of Results objects
+```
+
+### 🌐 Accessing Visual Assets
+
+The visual assets can be downloaded directly from the main branch of this repository. They are free for use in your own projects or documentation.
+
+### 📚 Accessing Datasets
+
+Datasets can be downloaded from the repository releases. Please refer to the individual dataset READMEs for usage instructions and licenses.
+
+## 🤝 Contributing
+
+If you'd like to contribute models, datasets, or visual assets to this repository, please submit a pull request or open an issue to discuss the contribution.
+
+## 🆘 Support
+
+For any questions, feature requests, or debugging queries, feel free to reach out to the Ultralytics support team or raise an issue on GitHub.
+
+## 📝 License
+
+This repository and its assets are covered under the GNU Affero General Public License v3.0 (AGPL-3.0). Please refer to the [LICENSE](./LICENSE) file for more details.