Roboflow is a computer vision tool that allows users to easily deploy models with a few images. It offers a variety of features to make the process as efficient as possible, including the ability to upload training data directly from the source, annotate images within the browser, and conduct and manage experiments all in one centralized place.
One of the key advantages of Roboflow is its annotation capabilities. Users can label images using any operating system without downloading any software, and the tool supports many popular annotation formats. This makes it easy for teams to quickly annotate hundreds of images.
Additionally, Roboflow offers a number of tools for experimenting with and improving models. Users can assess the quality of their datasets, generate new training data, and experiment with different configurations to see which lead to improved model performance.
Finally, Roboflow makes it easy to deploy models to the cloud, the edge, or the browser. Users can also choose to build their own custom models using the Roboflow model library, which includes pre-configured model architectures and custom Colab Notebooks.
Overall, Roboflow is a comprehensive tool that streamlines the process of deploying computer vision models, making it easy for teams to invest in their long-term computer vision strategy.