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Launched 2020 · Verified Oct 15, 2026

Roboflow

Verified Oct 15, 2026 Active
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Computer-vision platform for labeling images, training detection and segmentation models and deploying them to cloud or edge

computer visiondata labelingmodel deploymentobject detectionFreemium · from $39/mo

Listed on EffectHub ·

Web · API
Screenshot of the Roboflow website
#1638
roboflow.com as we captured it — our own screenshot, not the vendor’s press image.

Pricing

Pricing model
Freemium
Paid options from
$39/mo
Billing
Monthly

Free gives 10 credits a month (about 30 model trainings or 80,000 inferences); Core is $39 a month for 20 credits in total, with monthly credit packs scaling to $1,399 for 500 credits and unlimited admin seats; Enterprise is custom with SLA, US or EU data residency and managed clusters; human labeling is quoted from $0.05 per classification to $0.20 per polygon. No annual prices are shown.

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Overview

About Roboflow

Roboflow covers the computer-vision pipeline end to end: upload and label images with assisted annotation, manage and augment datasets, train object-detection, segmentation and classification models in the browser, then deploy them through a hosted inference API, a self-hosted inference server or edge devices such as NVIDIA Jetson. Its Universe site hosts hundreds of thousands of public datasets and pre-trained models that can be forked into a workspace, and Workflows chains models with logic blocks for production pipelines. Usage is metered in credits on a free tier and a $39 Core plan, with enterprise contracts for SLAs, data residency and managed clusters; it is aimed at developers and engineering teams shipping vision features.

Platforms
Web · API
API
Yes
Last verified
Oct 15, 2026

Verified sources

  • Pricing page: Free $0 with 10 credits a month; Core $39 a month billed monthly for 20 credits with packs up to $1,399 for 500 credits, unlimited admin members, 20 projects, one concurrent training job; Enterprise custom with SLA, US or EU data sovereignty and managed clusters; labeling from $0.05 per classification, $0.10 per bounding box, $0.20 per polygon (15 October 2026)roboflow.com ↗
  • About page: founders Brad Dwyer and Joseph Nelson launched Roboflow in 2020 after a 2019 AR project; footer '© 2026 Roboflow, Inc.' (15 October 2026)roboflow.com ↗
  • Terms of use are issued by Roboflow, Inc. for roboflow.com, app.roboflow.com and universe.roboflow.com and are governed by Delaware law (15 October 2026)roboflow.com ↗
Fact check

Is Roboflow legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

Domain registered
Mar 6, 2001 (25 years ago)Registry record (RDAP), registrar 1API GmbH, looked up Sep 6, 2026
TLS certificate
Issued by Let's Encrypt, valid until Dec 31, 2026Seen in our own connection to the site on Oct 15, 2026
Last checked
Oct 15, 2026The site answered
On the market since
2020The vendor's own material, read by us
Operated by
Roboflow, Inc., United StatesOur research, card verified Oct 15, 2026

How we collect these records

Editorial verdict

Pros & cons of Roboflow

high confidence

Roboflow is the fastest route from a folder of images to a working detection model and an endpoint, and the free tier plus Universe's public datasets make it the default classroom and prototype tool. Teams with strict data-governance rules or very large annotation programs should compare the enterprise terms against dedicated labeling vendors, and heavy inference users need to model credit burn, because the hosted API is metered rather than flat-rate.

Pros

  • Covers labeling, dataset management, training, hosted inference and edge deployment without stitching tools together
  • Universe offers a large library of public datasets and models that can be forked and fine-tuned
  • A free tier with real training and inference allowances, and a $39 entry plan with unlimited admin seats
  • Self-hosted inference server and edge support (Jetson and similar) for on-device deployment

Cons

  • Credits are the unit for everything, so training runs and inference volume both draw on the same budget
  • Per-credit cost on the Core plan ($3.90 at the base level) only drops with larger monthly packs
  • Free and Core workspaces have one concurrent training job and standard rate limits
  • Advanced roles, folder permissions and audit logs are enterprise-only

Best for

  • Developers prototyping object detection or segmentation who want labeling, training and an API in one place
  • Startups and research teams that can start on the free tier and reuse public Universe datasets
  • Engineering teams deploying models to edge hardware and chaining them with Workflows

Not for

  • Organisations whose images cannot leave their own infrastructure without an enterprise contract
  • Pure annotation outsourcing at large scale, where specialist labeling vendors price per task

Watch out: Credits are consumed by hosted inference as well as training; a demo that runs continuously on the hosted API can exhaust a Core plan's 20 monthly credits quickly, so plan on a self-hosted inference server for sustained workloads.

#1inComputer Vision APIs· of 3 tools, ranked by rating and popularity

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