About

Roboflow organizes, prepares, and improves your image and annotation training data. Build a higher quality computer vision model on your dataset quickly. Today, Roboflow supports object detection and classification models.

Like teams and other individuals, you might use Roboflow to:

• ​Annotate images or upload existing annotations

• ​Convert existing VOC XML annotations to COCO JSON annotations​

• See if labels are in-frame (and one-click correct them if they are not)

• ​Preprocess images: resizing, grayscale, auto-orientation, contrast adjustments

• ​Augment images to increase your training data: flip, rotate, brighten / darken, crop, shear, blur, and add random noise

• ​Generate annotation formats like TFRecords, CreateML and Turi Create, and custom YOLOv3 implementations (flat text files or Darknet)

• ​Quickly assess your dataset quality​

• Share version-controlled datasets with your team

• Easily use data across models built in Tensorflow, PyTorch, fast.ai, Keras, and more

• ​Obtain and share public datasets​

• ​Train models in one click with Microsoft Azure

Consider our Getting Started Guide for more.