Introduction to Datasets

Datasets are a grouping of images that are generally taken in one sitting. This could be multiple flights worth of data collection but the general idea is that the images are related and collected while taking off from the same location. 

You can read about how to upload data in the Quick Start Guide.

The dataset detail shows a map of the area with the footprit, information about how the imagery was collected with various settings and images that are part of the dataset. You can see that this dataset has 729 images. 

You can click on any of the images at the bottom and it will show what the images were taken of. You can also use the left and right arrows on a keyboard to advance through the images one at a time. Swiping left or right on the image area will do the same thing on mobile interfaces. 

Clicking on any location in the footprint will highlight all of the images the contain that location point. The images in the bottom are then filtered to include just the highlighted images. 

This subset of images can be reviewed in the same way the full dataset can by clicking, arrows or swiping.

for those of us using linked datasets from dronelogbook, is there a way to add to a dataset if there are images that fail during upload? for instance i randomly had a 503 error happen that left ~20 images out of the upload. thoughts?

Sorry for the delay. You should be getting notifications when there is a post in a thread you have posted to... Let us know if that is not the case. 

There is not currently support for adding images to an existing dataset but it is on our future feature list. Now that we know it is something that is needed we will bump it up on the priority list. 

We are still trying to run on fairly limited resources while getting started which is likely why you experienced the 503 error. You are uploading some pretty big datasets and must have a pretty fast internet connection for that to be happening. Please let us know if it happens again via email when it happens so we can get a timestamp to look at the logs.