iMerit Ango Hub Data Annotation Platform

Pros

Ango Hub has some excellent features that make it well-suited for image labeling. I've found the "Smart Scissors" tool to be particularly effective when handling inventory CCTV footage, which is what we typically work with. It significantly accelerates the labeling process. The FrameCut feature is decent too, though it doesn't quite match the efficiency of the scissors. It's also helpful that it supports multi-layer TIF, which, along with JPG, are our go-to formats.

Cons

Figuring out how to turn on or use the AI Assistance features is not immediately clear unless you go through the documentation. The same goes for some other functions. There are a few aspects of the interface that could definitely use some tweaking.

Pros

Ango Hub is both a flexible and highly adaptable software. While it offers precise and highly accurate labeling for most standard machine learning applications, its architecture is flexible enough to accommodate more specialized use cases as well.

Cons

The only downside I see is with data sharing. In the future, I think there will be a drag-and-drop feature that'll make starting the labeling process faster and easier.

Pros

Our workflow requires a large volume of PDF files to be labeled, and Ango Hub has been exceptional for that. Our PDFs are stored on S3, and importing them into the software was super easy, we just created a .json with links to our files, and they were good to go. While there are a few shortcuts to get used to initially, the labeling process quickly became easy, and before long, we were working much faster. The ability to run full-text searches on PDFs is a huge time-saver as well.

Cons

Some shortcuts are a bit awkward to use at first and not immediately clear. You do get the hang of it eventually, but there's a bit of a learning curve. Figuring out how to install and activate the AI Assistance plugins wasn't super obvious either.