Welcome to the CoralNet blog!

Recent work to address site performance issues

Here's what been done recently to address site performance issues and improve performance monitoring going forward.

Classifying images with a different source's classifier

Now, in the New Source or Edit Source form, you can choose the classifier that's used to classify the source's images.

New dashboard for monitoring background jobs

One of the most common types of questions we've gotten on CoralNet has been: "What's going on with the classifier training in my source?"

CoralNet now estimates carbonate production rates

CoralNet now has the capacity to estimate benthic carbonate production from image annotations.

CoralNet is officially out of Beta

It is our pleasure to announce that CoralNet is out of Beta and on to “CoralNet 1.0”.

A new deep learning engine for CoralNet

For the release of CoralNet 1.0, we have created a new deep learning engine that is more accurate and faster.

Annotation tool bug fixes follow-up: checking potentially affected images

Hi all, We had a couple of major tasks that we were hoping to finish around the middle of this year, but for one reason or … (More...)

Automatically annotating 175,000+ images with the CoralNet API

This is a guest post from Scott Miller from Florida State University. Scott helped us beta-test the new deploy API and was kind enough to share his experience in this post.

Annotation tool display bugs fixed

We have just fixed two major display bugs that have been plaguing the annotation tool for a while.

Two changes to point annotations

We've recently been working on a structural overhaul of CoralNet's computer vision backend. In the process, we've re-evaluated a couple of finer details of how point annotations work on CoralNet. Depending on how you use CoralNet to get your work done, those details may affect you.