Roboflow: Computer vision tools for developers and enterprises

Everything you need to build and deploy computer vision models.

Used by over 500,000 engineers to create datasets, train models, and deploy to production.

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Over 16,000 organizations build with Roboflow.

Build Your Pipeline

Curate + Understand

Label Collaboratively

Train + Evaluate

Cloud + Edge Deploy

Our integrated workflow builder and deployment infrastructure ensures what is configured can be deployed.

Deploy with a hosted API or to the edge with video streams or image data.

Combine custom models, open source models, LLM APIs, pre-built logic, and external applications.

Explore Workflows

Explore, visualize, filter, curate, and organize data to create the best dataset for your next training run.

Find insights in your data with built in analytics to understand where and how to improve your dataset.

Generate up to 50 augmented versions of each image in your dataset to improve model generalization.

Explore Annotate

Manage your pipeline of uploading, assigning, reviewing, and approving annotations.

Quickly communicate feedback, share instructions, and reach consensus for labeling decisions.

Label data quickly with a suite of AI-assisted annotation tools. Augment human labeling or fully automate labeling.

Explore Annotate

Optimized infrastructure with our hosted state of the art train, including a hosted API endpoint for models.

Choose from five model sizes to optimize for fast iteration and low compute deployment or for the highest accuracy.

Evaluate your model performance and identify where it under performs and what data to gather.

Run models directly on Roboflow’s infrastructure through an infinitely-scalable API.

Use our exclusively provisioned server running Roboflow Inference out of the box to build and test your application logic.

View metrics like inference volume, confidence, inference time, and individual prediction results for deployed models.

Thousands of

machine learning engineers

rely on Roboflow in their industry.

Accelerate your computer vision roadmap with best-in-class tooling and expert guidance. Over half of the Fortune 100 builds with Roboflow.

Explore Industry Use Cases

Designed for developers.

Start running models in 2 minutes with Roboflow Inference, our open source, high-performance deployment solution.

pip install inference && inference server start

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from inference_sdk import InferenceHTTPClient

client = InferenceHTTPClient(

from inference_sdk import InferenceHTTPClient

api_url="http://localhost:9001"

)

with client.use_model(model_id="soccer-players-5fuqs/1"):

predictions = client.infer("https://media.roboflow.com/inference/soccer.mp4")

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Built with the industry standard open source libraries.

A range of utilities to help integrate computer vision into your application, covering functions from annotation to object tracking.

Built with industry standard open source libraries.

Open source Jupyter Notebooks showing how to train and worth with the latest state-of-the-art computer vision models.

Use large, slower foundation models to label data for use in training small, fast, supervised models.

An easy-to-use, production-ready inference server for computer vision with deployment of many popular model architectures and fine-tuned models.

Integrate with your favorite tools.

Customize, automate, and extend your pipeline with APIs, SDKs,
integrated tools, and rich documentation.

AWS S3

Google Cloud

Image and Video Databases

Azure

Supabase

Reolink

Unifi

FLIR

Lucid Vision Labs

Camera and Capture

Basler

Luxonis

Pelco

LabelMe

Create ML

CVAT

Annotation Formats

Amazon Rekognition

Labelbox

Amazon Sagemaker

Ultralytics

TensorFlow

Azure

PyTorch

Hugging Face

Training Frameworks

Google Colab

Keras

Ignition

Rockwell Automation

Aveva

Internal Systems

Kaleris

Pinc

SAP

Google Cloud

Intel

Raspberry Pi

Replit

Kubernetes

Luxonis

Edge and Cloud Deployment

NVIDIA

Next

Azure

Amazon Sagemaker

Scalable, reliable, and secure.

Roboflow is built for security, with enterprise grade infrastructure and compliance always in mind.

Compliant with SOC2 Type 2 requirements.

Data is encrypted in transit and at rest, with SSL transport receiving a grade A+ rating from Qualys.

HIPAA Compliant infrastructure, including the ability to execute BAAs.

View More Enterprise Features

Mickey Friedman

@mickeyxfriedman

Roboflow is literally such a nice tool. It greatly improved the labelling experience for me !

Moritz Feuerpfeil

New CV benchmark dropped!
Especially enjoy this interactive view of the clustered vision data.

Traun Leyden

I'm blown away at how responsive @cheeds06 from the Roboflow support team has been! 🤩 I had a problem downloading the original images from a dataset and he generated a new dataset for me within 10 minutes. On top of that, gave me tips to workaround the issue in the future.

Mykola Kozyr 🇺🇦

.@roboflow and @ultralytics integration is sick. Makes things work so simple

Learn With A Robot

@learnwitharobot

Real-time training metrics from @roboflow are a delight to watch. Awesome feature. Check the following example of a model being trained:

Helicopters of DC on Telegram

@HelicoptersofDC

Excited to tell you all about our computer vision program that will AUTOMATICALLY IDENTIFY ANY HELICOPTER PHOTO YOU SEND US!
Give it a try! #GoodBots #ComputerVision #MachineLearning
@roboflow

Sammriddh Gupta

Shoutout to @roboflow for the weekly newsletter🔥🔥 It always comes with awesome computer vision guides, news and research papers, loving the content 💯🤌

Don't mind me, just training FREAKING ROBOTS TO RECOGNIZE TOOLS IN PHOTOS!!!!!!!!
(This is for @toolstashapp)
👋 @roboflow

Matthew Cicanese

@MatthewCicanese

It’s 3am and I’ve been having fun training my first #MachineLearning #ComputerVision model for #Lichens using @roboflow.
I’m having fun figuring this out and in the process of creating something awesome with #DeepLearning!
#AI #ML #ChristmasLichen #Lichen

Kristen Kehrer

@roboflow is a dream. I was able to upload the images and annotations in the format for my yolov3 model and then download them in the correct format to build a model with the yolov5 library in python. This literally only took me a couple button clicks.
#computervision