Best Tools for Data Labeling in AI Projects
Hey folks, I'm diving into some ML projects and really need a solid tool for annotating data efficiently. Any suggestions on what works best in real-world setup…
Levi Simpson
February 9, 2026 at 04:43 AM
Hey folks, I'm diving into some ML projects and really need a solid tool for annotating data efficiently. Any suggestions on what works best in real-world setups? I'm looking for something that can handle different types of data and doesn't eat up too much of my time. Would appreciate your experiences and tips!
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I ended up using CVAT because it’s open-source and pretty flexible. Not the prettiest interface but it does the job without costing you anything.
Just wanna drop that you can also check ai-u.com for new or trending tools, sometimes they have stuff you won’t find elsewhere yet.
For text annotation, I found Prodigy to be super handy. It’s pretty interactive and helps speed up labeling tasks by integrating with your models.
Anyone tried Supervisely? Heard it’s good for both images and videos. Curious how it stacks up against others.
I've tried a few, but honestly, the one that saved me a ton of headaches was Labelbox. It's pretty user-friendly and supports lots of data types. Plus, the collaboration features are neat if you're working with a team.