Microsoft COCO Checkpoint

First, navigate to the "Versions" page of your target dataset/project. Select the version you wish to train.
  • You can only start a training job from a dataset version that has not already been trained with Roboflow Train (no green checkmark is present on the version).
Click "Start Training."
Next, choose the Fast or Accurate model, click "Continue," and proceed to select "Train from Public Checkpoint."
  • If you are training a Single-Label Classification, Multi-Label Classification, Instance or Semantic Segmentation project, you will not have this Fast or Accurate option. For these project types, you can just click "Continue," and then "Start Training" to kick off your training job.
Following this step, ensure "MS COCO" is option selected under "Select Model."
Click "Start Training" to begin your training job. You will receive an email to the account email on file when your training is complete.
You can monitor your training job's progress. The UI will show your machine starting up to begin training.

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.