Vision AI Label Studio is a powerful image labeling tool designed for developers, researchers, and data scientists building machine learning datasets. Whether you're manually annotating or using YOLOv8 for AI-powered auto-labeling, it has you covered.

👋 Hey Product Hunt! I'm super excited to share Vision AI Label Studio with you all! As someone who’s worked on machine learning projects, I’ve often struggled with existing image annotation tools—either they’re too clunky, require cloud uploads, or have limited format support. So I built Vision AI Label Studio to be: * 💻 Fully offline * 🤖 AI-powered (YOLOv8 integration for auto-labeling) * ✍️ Great for manual labeling (bounding boxes, polygons, lasso) * 🔁 Flexible with exports (COCO, YOLO, Pascal VOC, JSON) * 🖥️ Available as a desktop + web app The entire project is open-source on GitHub, and I’d love your feedback, feature requests, and contributions! 👉 [GitHub Repo](https://github.com/vailabel/vail...) Let me know what you think or if you’ve got dataset labeling pain points—always open to improving this for the community. 🙌 Vichea

I’ve been looking for a labeling tool that doesn’t force me into a subscription or make me upload all my data to the cloud. Vision AI Label Studio nails it. Everything runs offline, and my data stays right on my computer. For anyone working with sensitive stuff (or who just doesn’t like giving everything to a server), that’s a huge relief. The app itself is clean and easy to use. Drawing boxes, polygons, or even freehand masks feels smooth—no clunky controls. I also love that it has both light and dark mode (little details like that matter when you’re staring at images for hours). But the best part? Auto-labeling with YOLOv8. Instead of spending forever manually tagging every single object, it gives you a head start by detecting things automatically. I still adjust and fine-tune, but it easily cuts my work time in half. Exporting is straightforward too—I can send my data to COCO, YOLO, or Pascal VOC formats without fiddling around. That means I can jump straight into training models without extra headaches. Honestly, this feels like a tool made by someone who actually knows the pain of labeling. It’s free, it’s open-source, and it just works. If you’re a student, researcher, or just messing around with computer vision projects, give it a try. You’ll save time, and you won’t feel like the software is fighting against you.

Vision AI Label Studio

Label images manually, Free, offline, and open-source

Label images manually, Free, offline, and open-source