Roboflow

Roboflow is an end-to-end computer vision platform covering the full workflow from image/video data to deployed models: dataset management, annotation, preprocessing and augmentation, training, and deployment to cloud, edge, or device. It offers automatic labeling, dataset versioning, and the large Roboflow Universe repository of datasets and models. Used by developers through enterprises, it has raised about $63.6M, including a $40M Series B led by GV, and offers a free plan plus paid tiers.

Roboflow makes computer vision more accessible by providing an end-to-end toolchain in one place. Teams can upload images and video, annotate and manage datasets, apply preprocessing and augmentation, train models (or use hosted/AutoML options), and deploy to the cloud, edge, or on-device. It also hosts Roboflow Universe, a large public repository of datasets and pre-trained models that helps teams bootstrap projects quickly. The platform is popular with a broad range of users, from individual developers and researchers to enterprises, because it lowers the barrier to building object detection, classification, segmentation, and related vision models. Features like automatic labeling, dataset versioning, and easy deployment SDKs/APIs are central to its appeal, and it maintains widely used open-source tooling in the computer vision community. Roboflow has raised roughly $63.6 million in total funding across four rounds, including a $40 million Series B (2024) led by GV, with participation from Craft Ventures, Y Combinator, and notable angels. Pricing includes a free plan for getting started, plus paid tiers such as Starter (around $49/month) and Growth (around $299/month), and an Enterprise plan for larger needs. As always, verify current tiers and limits with the vendor.