PixLab Annotate
pixlab.io
Spec sheet
- Purpose
- PixLab Annotate is a browser-based image labeler for creating bounding boxes and polygon segmentation labels for machine learning datasets.Read 9 Oct 2026 · pixlab.io
- Support
- The app page says feature and support requests can be made through the PixLab GitHub repository.Read 9 Oct 2026 · annotate.pixlab.io
- Maker
- PixLab identifies Symisc Systems, SUARL as its maker and says its SaaS business began with PixLab in 2017.Read 9 Oct 2026 · symisc.net
- Account requirement
- The tool says no account is required to load images, create labels, or export annotation data.Read 9 Oct 2026 · pixlab.io
- Annotation tools
- The tool provides rectangle and polygon labeling, plus zoom, drag, full-screen display, snapshots, and an eraser.Read 9 Oct 2026 · pixlab.io
- Batch labeling
- You can select multiple images from a device folder and move through them sequentially in the browser.Read 9 Oct 2026 · pixlab.io
- Export
- The tool exports structured JSON with annotation coordinates, rectangle geometry, and label metadata for adaptation to a machine learning pipeline.Read 9 Oct 2026 · pixlab.io
- Labels and history
- You can create and manage labels with names and colors, review annotation history, and undo or redo changes.Read 9 Oct 2026 · pixlab.io
- Local processing
- PixLab says source images are processed in the browser and are not transferred to PixLab servers.Read 9 Oct 2026 · pixlab.io
- Saved work
- Annotation state is stored in browser storage and can be resumed in the same browser on the same device; clearing that storage removes the saved state.Read 9 Oct 2026 · pixlab.io
- Supported use cases
- The maker describes the tool as useful for developers, researchers, ML engineers, dataset preparation, small teams, QA review, and classroom training.Read 9 Oct 2026 · pixlab.io
Plans and prices
Free Free Free to use · no account required · bounding boxes and polygons · structured JSON export Read 9 Oct 2026 · pixlab.io
Where Specifiction places it
- Image Annotation Software#23 of 287.2