Vision AI Label Studio
We built Vision AI Label Studio, a modern, offline-first, open-source image labeling app. It supports: - Manual annotations (boxes, polygons, lasso) - AI-assisted labeling via YOLOv8 - Multi-format export (COCO, Pascal VOC, YOLO, JSON) - Full-featured desktop + web versions - Built with React, Tailwind, Dexie.js No cloud dependency. Works 100% locally and offline. GitHub: https://github.com/vailabel/vailabel-studio Docs + Demos: https://vailabel.com/ Would love feedback and contributions!
Vision AI Label Studio launched on May 26, 2025 with 7 votes, #3,816 of 7,905 launches that month. The site was still online in September 2026, 1 year on.
What it does
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.
A local-first desktop studio for image, video, and multi-modal data labeling — with an offline AI copilot that detects, segments, and QAs your annotations.
Vailabel Studio is a local-first desktop studio for image, video, and multi-modal annotation. Detect, segment, and QA your labels with on-device AI — your data never leaves your machine. A focused, native annotation studio — not a browser tab. Built for speed, privacy, and real ML workflows. Bounding boxes, polygons, points, lines, circles, free-draw, and SAM smart-segment — each with a single-key shortcut. Ask it to detect, segment, suggest labels, or QA your work. Local ONNX models, human-in-the-loop, zero cloud calls. One click to LabelMe, COCO, YOLO (detection & segmentation), and Pascal VOC — ready for any training pipeline. Projects live in a local SQLite database on your machine.…from vailabel.com
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