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Announcing Roboflow Rapid: the first prompt-based model creation engine. Data labeling is dead. Go from idea to deployed model in minutes without labeling data. Upload a video, type a text prompt, and get an API. No data labeling teams. No manual annotation. No infra / dependency hell. If you... show more

Roboflow

15,412 subscribers

23,039 次观看 • 10 个月前 •via X (Twitter)

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27 条评论

Roboflow 的头像

Roboflow10 个月前

The barrier to building with visual AI just hit zero. And we are giving all users 2,000 free credits through the end of 2025 to try Rapid.

Roboflow 的头像

Roboflow10 个月前

step by step tutorial on how to use rapid

Tristan Rhodes 的头像

Tristan Rhodes10 个月前

So it uses SAM to automatically train a smaller/faster model (like Yolo or RF-Detr)?

Roboflow 的头像

Roboflow10 个月前

yes! rf-detr for the detector key thing is we can always use the best foundation model and detector for the task. adding in more models over time (ie Gemini Pro 3, etc) will ensure this continues to be the best possible path for people to make vision models fast

Tristan Rhodes 的头像

Tristan Rhodes10 个月前

Thanks! This is such a neat project and idea. This lowers the barrier to entry for people to dip their feet in computer vision and create something that could be used in a factory, for instance. I work at a university, and I'm going to share this with both the manufacturing engineering department and the data science department.

Roboflow 的头像

Roboflow10 个月前

yeah that's exactly right if there is an HMI attached to a camera on a line, you could make a model quickly at the edge for a new issue/product very easily

Nathan Handyman 的头像

Nathan Handyman10 个月前

No more labeling hell? Bold move. Edge cases are the real test though.

Polymatics 的头像

Polymatics10 个月前

if it actually works, removing labeling would be a huge productivity boost for builders

Roboflow 的头像

Roboflow10 个月前

try it out and let us know

Luc 的头像

Luc10 个月前

@vikhyatk 👀

Sarthak Bhardwaj 的头像

Sarthak Bhardwaj10 个月前

Congrats team! 🙌

Javier Berger 的头像

Javier Berger10 个月前

Impresionante!!! Gracias por este tremendo regalo de navidad 😊

Roboflow 的头像

Roboflow10 个月前

any projects in mind to try it out with?

Percival Galios 的头像

Percival Galios10 个月前

Love this and thank you. However, I find Roboflow Rapid fails on complex annotation tasks with subtle differentiation. It’s best for clearly visible objects rather than, for example, different classes of road damage

Roboflow 的头像

Roboflow10 个月前

great example of an application that would require fine-tuning a custom detector, totally agree

Percival Galios 的头像

Percival Galios10 个月前

Your reply is validating - thank you!

Roboflow 的头像

Roboflow10 个月前

rapid can probably handle 80%+ of objects people want to detect for vision applications, specific ontology like this is in that 20% :) Looks like a cool project you're building. Tons of valuable use cases in understanding local infrastructure

Finance Cyprus 的头像

Finance Cyprus10 个月前

Just wondering if it can be used in cell type detection and counting for blood test labs?

Roboflow 的头像

Roboflow10 个月前

that will likely work. give it a try, it's totally free, takes just a few minutes

Finance Cyprus 的头像

Finance Cyprus10 个月前

Thnx, will do

Roboflow 的头像

Roboflow10 个月前

lmk how it goes

pradeep kumar 的头像

pradeep kumar10 个月前

How to subscribe to growth plan for dedicated online support? Please reply to my email id: [email protected]

Karan Jagtiani 的头像

Karan Jagtiani10 个月前

Prompt-based model creation is intriguing. Curious how well it handles edge cases and complex tasks. Anyone testing those limits?

Roboflow 的头像

Roboflow10 个月前

very data dependent best way to find out is to try it and share results, it's free what use cases do you have in mind?

pradeep kumar 的头像

pradeep kumar10 个月前

How to subscribe to growth plan for dedicated online support ? My email id: [email protected]

Roboflow 的头像

Roboflow10 个月前

Hello! Please send any support questions to Email support is only available for Enterprise plans

pradeep kumar 的头像

pradeep kumar10 个月前

Then how to subscribe to enterprise plan ?

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