Organize images, convert annotation formats, preprocess, augment, share, and ship more. We eliminate the boilerplate code every computer vision team has to write.
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.
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 (😻🏆) 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.
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
AIxBlock surpasses Roboflow by offering instant self-hosting on-premise, giving companies full control over their data and AI models for maximum privacy. Unlike Roboflow, which relies on cloud-based solutions, AIxBlock provides decentralized, on-demand compute resources, allowing users to save up to 90% in computation costs. Our platform connects companies to a global marketplace of diverse compute options, ensuring flexibility, scalability, and privacy without long-term contracts or costly cloud dependencies.
using their image augmentation(dataset creation) service has changed my classification model accuracies from ~70 ot ~90.
Truly a great product all around.
only criticism is I wish there was more documentation on yolo classifications, I can't seem to get decent accuracy using it.
Stack Roboflow
Stack Roboflow
- 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.aiStack Roboflow