2. Create Dataset#
When you work on a particular ML problem you tend to use multiple datasets – a train and a test one as a bare minimum. That’s why one can define multiple datasets per Efemarai project. Each dataset can then be used for baseline evaluation or stress testing.
Here is a quick example defining a local dataset to be uploaded to Efemarai.
datasets: - name: Road Signs Dataset format: COCO stage: train data_url: "road-signs-dataset/images" annotations_url: "road-signs-dataset/images/instances.json"
After you have added the following code snippet to your efemarai.yaml file, you should be able to create a dataset via our CLI.
efemarai dataset create efemarai.yaml
or if you’re using the standard name as above, you can simply type
efemarai dataset create .
Once executed, you will see the new dataset uploaded to the system.