README.md

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title: EdgeFirst AI
emoji: 🔬
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sdk: static
pinned: true
license: cc-by-nc-4.0
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# EdgeFirst AI

### Spatial Perception at the Edge

Open-source libraries and microservices for AI-driven spatial perception on embedded devices.

[![EdgeFirst Studio](https://img.shields.io/badge/EdgeFirst_Studio-3E3371?style=for-the-badge&logoColor=white)](https://edgefirst.studio) [![GitHub](https://img.shields.io/badge/GitHub-212529?style=for-the-badge&logo=github&logoColor=white)](https://github.com/EdgeFirstAI) [![Documentation](https://img.shields.io/badge/Docs-1FA0A8?style=for-the-badge&logo=readthedocs&logoColor=white)](https://doc.edgefirst.ai) [![Website](https://img.shields.io/badge/edgefirst.ai-E8B820?style=for-the-badge&logoColor=333)](https://edgefirst.ai)

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[![EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models/resolve/main/social-card.png?v=5)](https://huggingface.co/spaces/EdgeFirst/Models)

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## About

**Au-Zone Technologies** builds EdgeFirst, a platform for deploying AI perception on edge devices. We support cameras, LiDAR, radar, and time-of-flight sensors for real-time object detection, segmentation, sensor fusion, and 3D spatial understanding.

Our stack spans four layers: **Foundation** (hardware abstraction and inference delegates), **Zenoh** (pub/sub microservices), **GStreamer** (media pipeline plugins), and **ROS 2** integration. All released under **Apache 2.0**.

## Model Zoo

Pre-trained models validated on real edge hardware with full-dataset accuracy metrics and detailed timing breakdowns per device.

**[Browse the EdgeFirst Model Zoo →](https://huggingface.co/spaces/EdgeFirst/Models)**

**[Introducing the EdgeFirst Model Zoo →](https://huggingface.co/blog/EdgeFirst/model-zoo-intro)** — how the grid is built, and why every published number links to the validation session that produced it.

| Task | Models |
|------|--------|
| **Detection** | [YOLO26](https://huggingface.co/EdgeFirst/yolo26-det) · [YOLO11](https://huggingface.co/EdgeFirst/yolo11-det) · [YOLOv8](https://huggingface.co/EdgeFirst/yolov8-det) · [YOLOv5](https://huggingface.co/EdgeFirst/yolov5-det) |
| **Segmentation** | [YOLO26](https://huggingface.co/EdgeFirst/yolo26-seg) · [YOLO11](https://huggingface.co/EdgeFirst/yolo11-seg) · [YOLOv8](https://huggingface.co/EdgeFirst/yolov8-seg) |

## Supported hardware

![NXP i.MX 8M Plus](https://img.shields.io/badge/NXP-i.MX_8M_Plus-3E3371?style=flat-square&logoColor=white) ![NXP i.MX 95](https://img.shields.io/badge/NXP-i.MX_95-3E3371?style=flat-square&logoColor=white) ![NXP Ara240](https://img.shields.io/badge/NXP-Ara240-3E3371?style=flat-square&logoColor=white) ![RPi5 + Hailo](https://img.shields.io/badge/RPi5-Hailo--8%2F8L-1FA0A8?style=flat-square&logoColor=white) ![NVIDIA Jetson](https://img.shields.io/badge/NVIDIA-Jetson-76B900?style=flat-square&logoColor=white)

## EdgeFirst Studio

[**EdgeFirst Studio**](https://edgefirst.studio) is our MLOps platform for the complete perception development lifecycle — dataset management, model training, INT8 quantization, on-target validation, and deployment. **Free tier available.**

## Links

| | |
|---|---|
| **Website** | [edgefirst.ai](https://edgefirst.ai) |
| **Studio** | [edgefirst.studio](https://edgefirst.studio) |
| **GitHub** | [github.com/EdgeFirstAI](https://github.com/EdgeFirstAI) |
| **Documentation** | [doc.edgefirst.ai](https://doc.edgefirst.ai) |
| **Model Zoo** | [EdgeFirst/Models](https://huggingface.co/spaces/EdgeFirst/Models) |
| **Company** | [Au-Zone Technologies](https://www.au-zone.com) |

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Open-source libraries (Foundation, Zenoh, GStreamer, ROS 2 integration): Apache 2.0 · Model Zoo validation results &amp; card data: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) · © 2026 [Au-Zone Technologies](https://www.au-zone.com)

<sub>NXP<sup>®</sup>, i.MX, eIQ<sup>®</sup>, Neutron, and Ara240 are trademarks or products of NXP Semiconductors. Hailo is a trademark of Hailo Technologies Ltd. Jetson is a trademark of NVIDIA Corporation. All other trademarks are the property of their respective owners.</sub>

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