Deploy A Custom Model to the Luxonis OAK - A Quickstart Guide

This guide will take you the long distance from unlabeled images to a working computer vision model deployed and inferencing live at 15FPS on the affordable and scalable Luxonis OpenCV AI Kit (OAK) device.

Luxonis OAK-D - Deploy a Custom Object Detection Model with Depth

Deploying Custom Models — DepthAI documentation

How to Train and Deploy Custom Models to Your OAK

OAK as a webcam — DepthAI documentation

FAQs & How-To — DepthAI documentation

Luxonis OAK-D - Deploy a Custom Object Detection Model with Depth

Deploy Models from Roboflow with the Luxonis DepthAI SDK

FAQs & How-To — DepthAI documentation

Deploying a Custom Image Classifier on an OAK-D - PyImageSearch

First steps with DepthAI — DepthAI documentation

Deploying Custom Models — DepthAI documentation

Deploy A Custom Model to the Luxonis OAK - A Quickstart Guide

Luxonis OAK-D - Deploy a Custom Object Detection Model with Depth

depthai-ml-training/README.md at master · luxonis/depthai-ml-training · GitHub

Luxonis OAK-D - Deploy a Custom Object Detection Model with Depth