Roboflow covers the computer vision workflow: dataset management, annotation with model-assisted labelling, augmentation, training, evaluation and deployment to cloud or edge. It is the default starting point for a large share of applied vision projects, with tens of thousands of organisations building on it.
Annotation is where vision projects burn budget, and model-assisted labelling — where a partially trained model pre-labels and humans correct — changes that arithmetic more than any other feature in the stack.
The open-source side matters too: libraries the team maintains are widely used independently of the platform, which gives an honest read on engineering quality before adopting the hosted product. Free tiers cover experimentation, with usage-based pricing at production volume.
