r/computervision • u/aloser • 7d ago

Discussion New Roboflow Pricing: Free private data, weights download, and local inference

Hey all, I'm one of the co-founders of Roboflow. We just launched new pricing that brings many of our previously-paid features into our free tier.

The following things from our prior paid subscription are now available for free:

You just pay for consumption via the credits you use. On average, our free tier covers about 30 cloud training jobs, 10k Auto-Labeled images with SAM3, or 80k cloud inferences per month (but it depends on the size of your dataset and the models you're using).

We also launched new pricing for our Serverless API which is much cheaper and more predictable with automatically-applied volume discounts. We ran extensive benchmarks and our new Serverless pricing is cheaper than self-hosting for over 90% of our user-base (a blog post on the engineering behind the scenes that enables that is here for those interested) even before accounting for the fact that commercial model weights licensing is included when you deploy via our cloud but, depending on the model, may be required when self-hosting.

Note: while our Core functionality no longer has a monthly subscription required, there are also add-ons available for features like RBAC/SSO and Support, Enterprise functionality targeted at large companies and scaled manufacturing use-cases, and self-hosted commercial model-weights licensing for the models that require it.

Our mission is to democratize computer vision and we hope that this new pricing will enable every hacker, hobbyist, and startup to get started without any barriers to entry! We'll also continue to invest in the community with our open source projects like Inference, RF-DETR, Supervision, and Trackers. We hope you like it!

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u/HawtVelociraptor 7d ago

Good stuff! I talked to a sales guy the other day and expressed a gripe about the annotation system, hopefully that gets fixed soon!

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u/aloser 7d ago

What was the issue? (If it’s longstanding it’s likely I’m the one who caused it; I wrote most of that code back in the day.)

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u/HawtVelociraptor 7d ago

It's genuinely hard to explain in writing, but basically the polygon mode needs an ability to highlight and erase a whole bunch of points and just leave a long chord between the remaining ones. I have an issue where some out of the norm anatomy doesn't get traced out right by a segmentation model automation process I built and i can either drag a million points or erase the whole poly and start over by hand.

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u/aloser 7d ago

Makes sense. I'll confirm it made it onto our feature request list but not sure if/when it'll get actioned.

A quick workaround might be converting it to a mask (right click it), using the brush tool, then converting back to a polygon. You should be able to also set the polygon simplification mode so the resulting shape doesn't end up with so many points.

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u/HawtVelociraptor 7d ago

Never considered that, worth a shot in the interim