12 iMerit Ango Hub Multimodal AI Platform Reviews
Ango Hub is a solid platform for organizations that need high-quality labeled data for complex AI/ML projects. Its focus on workflow management, customization, and quality control suggests it's designed for serious annotation efforts. I like Ango Hub's ability to handle and synchronize annotations across different modalities. It allows for correlating objects and events across sensor data, creating a comprehensive understanding of the environment. Review collected by and hosted on G2.com.
The complexity of the platform might require dedicated training. Review collected by and hosted on G2.com.
The platform performs well even with heavy video tasks. We did video classification with samples in 4K and had no visible issues. I like that we can import our data into Hub without having to change where it’s located on the server, we just give Hub links to where it is now. Review collected by and hosted on G2.com.
Currently the only video file type accepted is .mp4, so we do have to convert videos to this format which can be time consuming. It’d be great if we could directly upload .avi or .mov files. Review collected by and hosted on G2.com.
Our workflow requires us to label a large amount of PDF files, and Ango Hub has been excellent for this. Our PDFs are on S3, and importing them to the platform was easy, we just made a .json with links to our files and they were ready. The labeling itself, while there are shortcuts to learn at first, quickly becomes intuitive and after a while we got really fast. You can run full-text searches on PDF files which is a massive time-save. Review collected by and hosted on G2.com.
Some of the shortcuts can be a little clunky and not immediately obvious at first. You do get used to it but there is a learning curve. It's not immediately obvious how the "AI Assistance" plugins are installed and activated. Review collected by and hosted on G2.com.
We have different models which need to be trained on different data types, one on audio and one on text transcripts. We like that with Ango Hub, we can just use one single platform to label both. Our labeling team is about 10 people and I like that we can see detailed statistics about everything that’s going on. Pricing is also very reasonable compared to other products like it. Review collected by and hosted on G2.com.
There is no function to zoom into audio waveforms, so if your audio file is really long, you’ll lose precision in the cut. I’m hopeful this can be fixed with an update. Review collected by and hosted on G2.com.
When we found that a small feature would help our workflow, we emailed Ango but thought nothing of it. The next day, the feature we wanted was added. The team’s quick response has been nothing short of amazing and we’re not sure this could have happened with other bigger platforms. Ango Hub has great performance and we’ve been able to complete our text classification tasks quickly and efficiently. Review collected by and hosted on G2.com.
Right now it’s not possible to label on platforms that aren’t desktop. While this is not a huge deal for us, I thought others might want to know. The export formats are currently limited to two, so you might need to do some conversion depending on your situation. Review collected by and hosted on G2.com.
Our labeling projects consist of millions of images, and Ango Hub’s performance has been great. Adding files to Hub has been nearly instantaneous and everything feels snappy when loading. Huge kudos to the development team for that. Our annotators had a small learning curve at first but are now used to working on Hub and they too are pleased. The AI assistance features also saved us time thanks to the pre-trained models that are offered. Review collected by and hosted on G2.com.
The interface takes some time to get used to, not everything is immediately obvious. Most labeling platforms are not "standardized" among themselves it seems. Going over the docs once can help clear things out. Review collected by and hosted on G2.com.
Ango Hub has features that make it suitable for image labeling. The “Smart Scissors'' tool especially works quite well for inventory CCTV footage which is what we work with, it speeds up labeling quite significantly. The FrameCut feature also works but it’s not quite as good as the scissors. It also supports multi-layer TIF, which along with JPG is what we use most. Review collected by and hosted on G2.com.
It’s not immediately obvious how to activate or use the AI Assistance features without reading the documentation, as well as other features. Some things about the UI could be improved. Review collected by and hosted on G2.com.
We’ve been shopping around for an image labeling software for a while and settled on Ango Hub. We chose it because of its great support for complex image labeling tasks. The interface makes it easy to create large polygons, copy-paste them, modify them, etc. Relations and rotated bounding boxes are a great bonus too, as well as the Smart Scissors tool. Review collected by and hosted on G2.com.
Not everything in the interface is immediately intuitive, it took a little at first to understand what everything did. Importing images is fast but requires you to make a .json. Review collected by and hosted on G2.com.
Ango Hub is good with PDFs. You can have a group of people annotate the same PDF, and it’ll calculate their consensus score. You can highlight text or draw areas around other text, and it’ll do OCR for you. You can draw relations between labels intuitively. Overall its PDF features are ahead, as far as I can see. Other platforms ask you to convert PDFs to images which is just not convenient at all since you lose the text layer. Review collected by and hosted on G2.com.
It’s probably a pet peeve but Ango Hub is not really mobile friendly at the moment. Most users will use the platform from the desktop so it’s not a big issue, but sometimes I need to look at some of my colleagues’ annotations from my phone and it’s not perfect. I’ve emailed them about this and they did say it was in the pipeline though. Review collected by and hosted on G2.com.
Ango Hub is the first platform I have seen with strong collaboration features. Labelers can leave comments, open issues, flag certain labels, etc. You can also see a ton of labeling statistics right from the dashboard. We have a medium-sized in-house labeling team, so that comes in handy for us. The platform is simple to set up and use, and so far we haven’t had any issues with it doing image labeling. Review collected by and hosted on G2.com.
It's easy to import data by drag-and-drop, but importing assets from the cloud right now requires you to make a .json with individual URLs. I wish there were a one-click import option from cloud storage. Review collected by and hosted on G2.com.
