With a few images, you can deploy a computer vision model in an afternoon. Roboflow empowers developers to build their own computer vision applications, no matter their skillset or experience. We streamline the process between labeling your data and training your model. Roboflow can be used 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 Train models in one click Deploy models as an infinitely scalable API, to an edge device, or to a web browser. Obtain and share public datasets