Model Deployment

30 Jun 2022 • 3 min read

Launch: Roboflow Native iOS SDK

Constrained bandwith? Left without the option to extend production data beyond your local network or corporate firewall? In need of real-time inference speeds on the edge? The Roboflow Mobile iOS SDK is a great option if you are developing an iOS application.

19 May 2022 • 3 min read

Launch: Roboflow OAK pip package

roboflowoak pip package lets you natively interface with your Roboflow workspace through Python scripts and deploy to an OAK device.

2 Apr 2022 • 10 min read

How to Deploy Computer Vision Models: Best Practices

In this guide, we walk through the fundamentals of deploying vision models and the questions you should evaluate when deciding how to deploy a model.

27 Sep 2021 • 2 min read

Deploying Computer Vision Models as Mircroservices

Roboflow's philosophy around MLOps revolves around treating your computer vision model as a microservice. The reasons for this are myriad; in this post we highlight the benefits of this approach and how it works in practice. Why Microservices? Separation of Concerns The primary motivation behind deploying your model

9 Sep 2021 • 3 min read

What is TensorRT?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us. What is TensorRT (in 60 Seconds or Fewer)? TensorRT is a machine learning framework that is published by Nvidia to run inference that is machine learning inference

6 Sep 2021 • 3 min read

How to Implement Object Tracking for Computer Vision

This post is a comprehensive guide on how to implement object tracking with your object detection model to track your custom objects

30 Aug 2021 • 1 min read

What is Amazon Rekognition?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us. What is Amazon Rekognition (in 60 Seconds or Fewer)? Amazon's Rekognition is Amazon's off-the-shelf computer vision API for understanding the contents of images.

16 Aug 2021 • 1 min read

What is CoreML?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us. What is CoreML (in 60 Seconds or Fewer)? CoreML is Apple's machine learning framework for doing on device inference. When you're doing on

12 Jul 2021 • 10 min read

How AI Protects My Garden from Rabbits

Rabbits were eating all of my vegetables. I decided to take a stand and implement a computer vision enabled system to automatically spook them away from my garden.

21 Jun 2021 • 3 min read

What Is the JAX Deep Learning Framework?

You've probably heard of TensorFlow and PyTorch, and maybe you've even heard of MXNet - but there is a new kid on the block of machine learning frameworks - Google's JAX.

14 Jun 2021 • 7 min read

Building vs. Buying a Computer Vision Platform

“You could do what Roboflow does yourself but…why would you?” -Jack Clark, Co-Founder of Anthropic, former Policy Directory at OpenAI, It’s no secret that building a computer vision model on your own is hard work. It requires wrangling together different platforms, open-source tools, and developer notebooks to create

27 May 2021 • 6 min read

License Plate Detection and OCR on an NVIDIA Jetson

In this blog, we discuss how to train and deploy a custom license plate detection model to the NVIDIA Jetson. While we focus on the detection of license plates in particular, this guide also provides an end-to-end guide on deploying custom computer vision models to your NVIDIA Jetson on the edge.

14 May 2021 • 10 min read

License Plate Detection and OCR using Roboflow Inference API

In this post, we’ll walk you through creating a license plate detection and OCR model using Roboflow that you can programmatically use for your own projects.

5 May 2021 • 8 min read

How to Train and Deploy Custom Models to Your OAK

In this blog, we'll walk through the Roboflow custom model deployment process to the OAK and show just how seamless it can be.

12 Oct 2020 • 1 min read

Fighting Wildfires with Computer Vision

Abhishek Ghosh is training a computer vision model to detect the first signs of smoke from a forest fire with the ultimate hope of dispatching a drone to douse it with water before it gets out of control. It's all part of a project he's working

10 Sep 2020 • 3 min read

Deploy YOLOv5 to Jetson Xavier NX at 30FPS

Learn how to deploy a YOLOv5 model to a Jetson Xavier NX edge device.

22 Aug 2020 • 8 min read

How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)

Learn how to train a custom mobile object detection model with YOLOv4 tiny and TensorFlow Lite.