
Fast data labeling
Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.
Make Sense vs. Roboflow? Over 1 million engineers create datasets, train models, and deploy to production with Roboflow.

The turnkey solution for vision AI. Create datasets, train models, and deploy to production.
From labeling to deployment - build, train, and launch with ease.
Interoperable infrastructure for developers to create custom vision solutions.
Deploy seamlessly to any edge device and power real-time vision AI.
Bring data from Make Sense to Roboflow for model training.
No matter where you train your model, use Roboflow's trusted deployment solutions.
Use AI labeling in Roboflow to automate 90% of human labeling.
Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.
Our team will help you start solving business problems on the first call.
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Over 16,000 organizations build with Roboflow.
When it comes to comparing Roboflow and Make Sense AI, Make Sense provides an open-source tool for manual image annotation with a focus on local, offline use. Teams building production-ready computer vision systems often choose Roboflow for its full-stack capabilities. Roboflow offers a complete platform that goes beyond annotation - enabling data management, augmentation, model training, deployment, and continuous improvement, all in one place. With Roboflow, engineers can collaborate seamlessly, scale workflows, and deploy models to the edge, cloud, or on-prem, without jumping between tools. Teams use Roboflow because it’s built to support the entire computer vision lifecycle with the speed, security, and flexibility needed to move from prototype to production.