Explore dataset
Now that you have copied the Coffee Cup dataset into your own created project, you can start exploring the images and annotations inside this dataset.
In this dataset, you can see that it has a total of 1399 images and single label "coffeecup". This dataset also has two partitions; one for training and another for validation. There is a total of 915 images for the training group and 229 images for the validation group. Finally, the dataset has a single annotation set which shows that 1385 images have annotations and there is a total of 3020 annotations (3020 distinct objects in the dataset).
Click on the 
button on top of the dataset card to navigate to the dataset gallery. The dataset gallery will look like the following below.
This dataset will contain both sequences (videos) 
and images. Clicking on the sequences will provide video playback. Otherwise, clicking on images will expand the image view.
This dataset will have a complete set of 2D annotations (masks and bounding boxes) of coffee cups. This dataset was quickly annotated using the Automatic Ground Truth Generatation (AGTG) feature in EdgeFirst Studio.
Now that you have seen what the dataset looks like, you can move forward to training a Vision model using this dataset.