Roboflow is a computer vision platform for labeling image and video datasets, training detection and segmentation models, and deploying them to the cloud or edge devices. Its free Public plan publishes your datasets and models on Roboflow Universe.
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Roboflow is a web-based computer vision platform for building and deploying vision models, covering the path from uploading and labeling images and video to training a model and running it in the cloud or on edge hardware. The homepage pitches it as AI that sees and understands the physical world, with an end-to-end platform that goes from idea to deployed application.
Brad Dwyer and Joseph Nelson launched Roboflow in 2020 after joining the Y Combinator S20 accelerator, following a 2019 augmented reality project that showed them how hard image annotation and model benchmarking were. The company reported a $2.1 million seed round in January 2021, and in November 2024 it raised a $40 million Series B led by GV, with Craft Ventures and Y Combinator joining.
The site claims over 1 million engineers and over 16,000 organizations build with Roboflow; these are the vendor's own figures.
On the free Public plan, datasets and models are not private. They are published on Roboflow Universe, the company's public catalogue of datasets and pre-trained models, and private data starts with the paid Core plan.
Roboflow Annotate is the built-in image annotation tool, and uploads cover most common formats:
Training runs on hosted GPUs from the dashboard or through an HTTP API. Roboflow offers two training options, Roboflow Custom Train and Neural Architecture Search, and when you approve your first batch of annotations a Roboflow Instant Model is trained automatically for auto labeling or deployment. For object detection, the documentation names RF-DETR as the most accurate architecture; object detection can start from a COCO checkpoint, from a starred Universe project, or from your own previous model.
Before a run starts, the training summary shows estimated duration and credit cost, and on plans with usage-based billing you can set a credit cap that stops the run and keeps the weights. Most jobs finish in under 24 hours.
Workflows let you chain multiple models, add custom logic and integrate with your pipeline. The same model or Workflow can then be served four ways:
Roboflow maintains open-source projects alongside the hosted platform, and each carries its own licence:
PML 1.0 is tied to the platform: it allows use only while you hold a Roboflow platform plan in good standing and forbids bypassing its usage tracking. Separately, Roboflow plans bundle commercial licences for models that are otherwise AGPL-3.0 or GPL-3.0, including YOLOv8, YOLO11, YOLOv12 and YOLO26, but only for the deployment methods your plan covers and only while you keep the plan. Roboflow cannot license YOLOv7 or YOLOv9.
Universe is the public side of the platform, where you can search and fork datasets and deploy pre-trained models. The Universe page lists 175k+ pre-trained models, but its dataset figures disagree: one section shows 750k+ datasets, another 575,000+, and the open-source page cites 200k+.
Roboflow Rapid is a shorter route from a short video or a few images to an object detection API in about five minutes.
Roboflow's customer stories are industrial:
Independent business reporting from November 2024 adds that Pella uses the platform to scan products for defects and that Rivian uses Roboflow for quality control.
Roboflow fits teams that want data, training and deployment in one place and accept either public data or a paid plan.
It is a weaker fit for:
Roboflow is used through a web app and APIs, while trained models can run in Roboflow's cloud or on your own hardware.
Roboflow pricing combines a plan fee with credits, the unit consumed by storage, labeling, training and deployment. Prices are listed and billed in US dollars. In the annual view, the Core card shows $79 per month with $99 struck through; the page's static data sets Core's monthly base price at $99 and its annual base at $79, and the monthly view shows $99 per month billed monthly.
| Plan | Price | Included credits | Users | Data and models |
|---|---|---|---|---|
| Public | Free, no credit card | 15 credits per month | 2 | Open source on Roboflow Universe |
| Core | $79 per month billed annually, or $99 per month billed monthly | From 30 per month, see credit tiers below | 3 | Private to your workspace |
| Enterprise | Custom, contact sales | Custom | Custom | Private to your workspace |
The Core card's credit selector lists 30 credits per month (360 per year) with no add-on fee, and 50, 100 or 200 credits per month for +$120/mo, +$280/mo or +$590/mo on annual billing (+$130, +$300 or +$630 monthly). Its default label reads 50 credits per month, and the page does not say which tier the base price includes. Extra prepaid credits start at $4 and Flex credits cost $6 on Public and Core. The Public plan caps a workspace at 250,000 images and 10 projects, while Core raises projects to 20 and uncaps storage on a pay-as-you-go basis.
What one credit buys:
| Resource | Value of 1 credit |
|---|---|
| Image storage | 5,000 images stored, assessed monthly |
| Uploads | 10,000 images uploaded |
| Auto labeling | 1,000 AI-labeled images |
| Interactive AI labeling | 100 AI-labeled images |
| GPU model training | 30 minutes |
| Dedicated deployment | 1 hour on GPU or 4 hours on CPU |
The Serverless Cloud API is billed per image, from 0.0625 credits per 1,000 images for classification models to 0.5 credits per 1,000 images for Segment Anything.
Credits are consumed in a fixed order: included, then prepaid, then Flex. Annual plans receive all included credits upfront and lose what is left at the end of the year, while monthly credits never roll over. Prepaid credits never expire. Flex billing is enabled by default with a $100 monthly cap you can change, and Flex usage is rounded down to whole credits. On the free plan, running out of credits blocks many features until the monthly reset or a prepaid purchase.
Most new sign-ups are started automatically on a 14-day premium trial with $60 worth of credits; it excludes buying prepaid credits and downloading model weights. When a trial ends the workspace enters a sandbox state, and your datasets go public only with your explicit consent. Cancelling a paid plan keeps access until the end of the billing cycle, without a prorated refund.
Roboflow's own deployment guide, written by the vendor, compares it with other stacks: Edge Impulse is described as uniquely good with microcontrollers but less suited to video and modern models, and NVIDIA DeepStream as a highly optimized video pipeline with a steep learning curve that is not open source.
For labeling alone, two open-source tools are common references:
For model training, the Ultralytics YOLO library is AGPL-3.0, and Ultralytics sells an Enterprise License for commercial use; Roboflow plans instead bundle commercial licences for supported YOLO versions. The trade-off is that Roboflow puts labeling, training and hosting under one credit meter, while the open-source tools leave infrastructure to you. Some AI directory listings still show plan names the current pricing page no longer lists, such as Basic and Growth.
Roboflow states it is compliant with SOC2 Type 2 requirements, encrypts data in transit and at rest, and offers HIPAA-compliant infrastructure with BAAs. The documentation warns never to publish copyrighted, private, NSFW or personally identifiable data on Universe.
No. The free Public plan publishes datasets and models on Roboflow Universe, and the research plan does the same. Private data starts with Core or a trial, and when a trial ends your data is not made public without your explicit consent.
Paid plans can. The Public plan is restricted to internal, non-commercial use. Paid plans include commercial licences for YOLO models that are otherwise AGPL-3.0, limited to the deployment methods of your plan, and the Apache-licensed RF-DETR sizes need no extra licence.
The workspace drops into a sandbox state that keeps data private, but you can only buy a plan again or migrate projects to the Public plan. Remaining included credits are forfeited, while unused prepaid credits stay on the account.
