Roboflow provides all of the tools you need to convert raw images into a custom trained computer vision model and deploy it for use in your applications. Today, Roboflow supports object detection and classification models.
Like teams and other individuals, you might use Roboflow to:
Annotate images or upload existing 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)
Share version-controlled datasets with your team
Easily use data across models built in Tensorflow, PyTorch, fast.ai, Keras, and more
Consider our Getting Started Guide for more.