Roboflow

An AI company making computer vision easy.

5.0
β€’3 reviewsβ€’

14 followers

Organize images, convert annotation formats, preprocess, augment, share, and ship more. We eliminate the boilerplate code every computer vision team has to write.
This is the 2nd launch from Roboflow. View more

Roboflow Organize

Eliminating your boilerplate computer vision code
Roboflow eliminates boilerplate computer vision code so data scientists can spend their time improving models, not organizing images and converting annotations. It's inspired by the pain points we experienced building computer vision apps of our own.
Roboflow Organize gallery image
Roboflow Organize gallery image
Roboflow Organize gallery image
Roboflow Organize gallery image
Roboflow Organize gallery image
Roboflow Organize gallery image
Roboflow Organize gallery image
Launch Team
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What do you think? …

Brad Dwyer
Hey all, happy to introduce you to Roboflow, the project we've been working on for the past few months to solve some of the pain points we experienced building apps like Magic Sudoku (πŸ˜»πŸ†) and BoardBoss. We noticed we were spending a lot of time wrestling with annotation formats, sending datasets back and forth between ourselves (and trying to keep the versions straight), and processing images for an endless variety of frameworks when what we really wanted to be doing was working on the core value points of our apps. As we talked to other data scientists and product teams, we realized this was a problem a lot of other people were facing too. And, unless you're Pinterest, it seems everyone has their "random python scripts" folder with one-off utilities for these common tasks. Plus they're hamstringing general purpose tools like Google Drive into doing things they weren't really made for. We're aiming to create the infrastructure to solve these pain points and lower the barrier to making computer vision projects for everyone. Just like you don't need to code your own database and web server to launch a website anymore, you shouldn't have to reinvent the wheel to deploy computer vision products. So far we have early customers working on analyzing security camera footage, robotic process automation, smart agriculture, augmented reality apps, and more! Excited to hear what else you'd like us to add. We've already shipped v1 of a dataset health check, several additional augmentations, and direct-downloads to Jupyter notebooks based on feedback from early users.
Wes Merrill
Congrats on the launch, Brad! Another super product launch!! :D
Brad Dwyer
@wes_merrill Thanks Wes!
Joseph Nelson
πŸ‘‹ We're excited to hear your feedback! Here's a few specific features we've seen save time and reduce training costs:
  • Verify image annotations are in-frame and correct
  • Convert annotation formats, like VOC XML to COCO JSON or TFRecord
  • One-click preprocess: resize, grayscale, remove EXIF orientation
  • One-click augmentation: rotation, flip, crop, blur, shear, noise, and more
  • View class imbalances by annotation type
Also, looking to play around with computer vision but not sure where to start? Consider following this tutorial or downloading datasets hosted on https://public.roboflow.ai
Jacob Witt
Big congrats on the launch! I'll be waiting on my Settlers of Catan UI
Joseph Nelson
@jacob_witt1 thanks! we did release a free dice dataset for anyone wanting to get a head start πŸ‘€ https://public.roboflow.ai/objec...
Bob Specht
Exciting to see products in ML/CV space starting to focus on improving productivity and accessibility of the data.
Robert Cobb
Love the simplicity and focus of the tool, and (as a teacher) really appreciate the tutorial content too. It's hard to make something that helps others make things without sending people down rabbit holes or running them into road bumps. Big time saver. @josephofiowa, your teaching background is showing!
Joseph Nelson
@robert_cobb You see right through me: our first user was the result of a guest lecture!
Julia Lipton
I've been following these guys for a while and love what @braddwyer and @josephofiowa are building. Great team. Congrats on the launch!
Brad Dwyer
@julia_lipton Thanks Julia πŸ™We've appreciated all your input and advice the past several months!
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