Our one-click training solution will give you a state of the art model hosted at an API endpoint customized for your dataset in no time.
Roboflow offers an AutoML product called Roboflow Train. It is the easiest way to train and deploy a state of the art object detection model on your custom dataset. It's literally one click -- we'll do the rest. When your model is done training, you'll receive access to a hosted inference API to interrogate your model for predictions via your programming language of choice (or a simple demo web app), a Tensorflow JS model you can embed in your web application, and an on-device inference server you can run on edge devices like the NVIDIA Jetson.
Apply for Research Credits: Additional training credits and increased account limits are available for research and education.
Choose image preprocessing and image augmentation settings, then generate a version of your dataset. Click "Use Roboflow Train" then "Start Training" and we will train a model for you and return back an API you can use.
The default image resize is 416x416. If you select a "Resize" preprocessing option, we will train a model whose native input size is similar to your training data size.
To make your model faster, try exporting images in a smaller size.
You can save the training graph by right-clicking it and selecting "Save Image As."
You can also see how your model performs on images from your dataset and local and hosted image and video files with the Deploy Tab.
The Roboflow Deploy tab
You can also see how your model performed on the specific images in your test and validation sets by using the "Visualize" feature to get a subjective feel for what these training metrics mean for your particular dataset.
Deploying Your Model
After training, your model is ready to be used for inference and embedded in a custom application! See the Inference Documentation page for all the options.