Labeled images are important for supervised machine learning research. There are many well known labeled image databases that focus on general features. Our goal here is to develop a discipline-specific database of labeled images that is relevant for coastal scientists.
We wanted a tool to easily accommodate multiple users labeling a single images to ensure correct labeling via consensus.
Easy to use
We provide users with images to be labeled using a given set of questions. Users interactively label images, and results are written to a database to be exported later.