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AI that sees and understands the physical world

Over 1 million engineers deploy visual intelligence for video, images, and real-time streams with Roboflow.

Over 16,000 organizations build with Roboflow. See our customers >

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Get into production today

Go from idea to deployed application with our end-to-end platform.

BNSF

Largest freight operator in North America automates yard inventory
Challenge
With 4.8 million carloads of freight each year, BNSF Railway faced complexities in real-time inventory and ensuring asset safety for efficient and secure operations across thousands of miles.
Solution
Vision AI provided real-time intermodal yard inventory and automated train wheel inspections, drastically reducing operational complexity and reducing potential safety hazards across BNSF's extensive network.
Read the BNSF story
“Roboflow is helping us immediately realize value from state-of-the-art computer vision technology.”
— Asim Ghanchi, AVP of Technology

USG

Preventing downtime at the largest manufacturer of gypsum products
Challenge
With a network of over 50 manufacturing sites, USG aimed to avoid unplanned downtime, elevate consistency of product quality, and equip teams with real-time insights.
Solution
By deploying edge-optimized vision AI, USG automated repetitive tasks and empowered their team to concentrate on higher-value initiatives.
Read the USG story
The vision AI solutions we developed with Roboflow have been a core component of connecting our teams and unlocking their ability to collaborate.
— Lou Stocco, Director of Manufacturing Advanced Analytics

Fletcher Sports

Redefining sports broadcasting at the US Open and Wimbledon
Challenge
While filming international sporting events viewed by millions of people, Fletcher needed a camera system capable of recognizing and tracking fast-moving players.
Solution
By training AI to track player movements and deploying to high-performance edge devices, Fletcher delivered all-court broadcast coverage for the first time in these events history.
Read the Fletcher Sports story
"With Roboflow’s expertise, we were able to navigate the complexities of building and deploying finely-tuned models. This helps Fletcher improve the viewing experience for millions worldwide.”
— Dwayne Pallanti, Director of Engineering

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.
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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
(
api_url=
"http://localhost:9001"
,
api_key=
"*******"
)
with
client.
use_model
(model_id=
"soccer-players-
5fuqs/1"
):
predictions = client.
infer
(
"https://media.
roboflow.com/inference/soccer.mp4"
)
SERVER STARTED
STARTING
MODEL LOADED
LOADING
Deploy with Roboflow

Built with the industry standard open source libraries.

roboflow /
supervision
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.

roboflow /
notebooks
Open source Jupyter Notebooks showing how to train and work with the latest state-of-the-art computer vision models.
roboflow /
trackers
Modular multi-object tracking algorithms under Apache 2.0, built to pair with any detection model.
autodistill /
autodistill
Use large, slower foundation models to label data for use in training small, fast, supervised models.
roboflow /
inference
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.
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AWS S3
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Google Cloud
Image and Video Databases
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Azure
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Supabase
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Axis Communications
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Unifi
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FLIR
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Lucid Vision Labs
Camera and Capture
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Basler
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Luxonis
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Verkada
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Pelco
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LabelMe
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Unity
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Unreal Engine
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Create ML
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CVAT
Training Data
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Amazon Rekognition
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Labelbox
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Amazon Sagemaker
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Ultralytics
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TensorFlow
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Azure
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PyTorch
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Hugging Face
Training Frameworks
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Google Colab
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Keras
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Ignition
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ROS
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Rockwell Automation
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Aveva
Software and Systems
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Kaleris
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Pinc
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SAP
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Google Cloud
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Intel
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Raspberry Pi
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Replit
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Kubernetes
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Luxonis
Edge and Cloud Deployment
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NVIDIA
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Next
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Azure
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Amazon Sagemaker
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Roboflow is transforming industries.

Find out how companies are solving complex challenges and driving meaningful impact with vision AI.
Automotive customer:
$0 million
Saved by automatically detecting defects on the production line
Logistics & freight company:
0%
Less time spent manually tracking shipping inventory
Building materials supplier:
0%
Lower customer return rate with improved product quality
“Roboflow has been instrumental in accelerating our learning and deployment of innovative AI solutions”
Travis Turnbull Vice President & CIO, Pella Corporation
See customer stories

Scalable, reliable, and secure.

Roboflow is built for security, with enterprise grade infrastructure and compliance always in mind.
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Compliant with SOC2 Type 2 requirements.
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Data is encrypted in transit and at rest, with SSL transport receiving a grade A+ rating from Qualys.
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HIPAA Compliant infrastructure, including the ability to execute BAAs.
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Get started in minutes

Start solving business problems immediately with ready-made workflows, trained models, and proven solutions
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Take their word for it.

Trusted by pioneering AI researchers and startups around the world.

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Yann LeCun
Chief AI Scientist at Meta

RF-DETR: DINOv2 pretrained encoder + multiscale DETR architecture = SOTA on fast object detection.
[DETR whisperer @nicolas.carion]

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Nikhila Ravi
Lead Author of Segment Anything @ Meta

the right UX is key! Love how Roboflow has adapted SAM/SAM2 interface to maximize utility and efficiency!

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Amjad Masad
CEO of Replit

Software is eating the world but it still can’t see it.

Roboflow is the vision layer for software—one that is loved by hackers!

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Beyang Liu
CTO of Sourcegraph

A lot of people have noted a gap between what LLMs seem capable of doing in influencer-demos and what they're able to get out of LLMs in real-world productive settings.

What we've spent the past year developing is a system that bridges the gap, so you can use LLMs for targeted use cases that require specific libraries and packages. Here's a concrete example of this, with me using @SourcegraphCody to create a pedestrian image detector in 5 minutes that uses a specific library, supervision from the good folks at @roboflow, rather than OpenCV

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Antaripa Saha
ML Engineer

roboflow notebooks repo is such a resource-intense place to learn cv
for people who want to get more in-depth into computer vision and do hands-on should check their repo out. @skalskip92 did a really good job there

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Asim Ghanchi
Assistant Vice President, Technology Services at BNSF

Technological advances are essential for BNSF to maintain its leadership in the industry, and Roboflow is helping us immediately realize value from state-of-the-art computer vision technology" said Asim Ghanchi, AVP of Technology. "Achieving positive results using AI in a lab environment is easy, but the real challenge comes when scaling the solution across a network like ours without disrupting day-to-day operations. Our partnership with Roboflow is allowing us to do just that.

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Paul Copplestone
CEO of Supabase

This is pretty legit - the @roboflow team created a "visual search engine" for NYC.

You can search for anything and the search engine uses AI to find it across all NYC traffic cameras.

It won "The world's shortest hackathon" and they open sourced all the code (🧵). Legends

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Kentaro Wada
Computer Vision at Mujin, Creator of Labelme

Wow, Roboflow got me sponsored at GitHub 🤩

Their open-source contributions are exceptional.

@roboflow, let me know if there's anything I can help with.

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Satya Mallick
CEO of OpenCV

Roboflow is an excellent example of a company that has its heart in the right place.

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Wade Norris
CEO of SnapCalorie (YC 21)

Roboflow’s data management tools far surpassed any of the other tools we evaluated in the computer vision space.

See all