Pixano review
A flexible open-source choice for teams annotating 2D and 3D vision datasets.
Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Pixano is an open-source tool for exploring and annotating computer-vision datasets. It is aimed at researchers, developers, and teams building custom computer-vision datasets or annotation applications. The feature set covers bounding boxes, polygons, pixel-level masks, keypoints, cuboids, classification, and tracking, with workflows for both 2D and 3D data. Teams can run it through a web interface, on Windows, macOS, or Linux, or in a self-hosted environment. Pixano is also available locally as a Python package or Docker application.
Its strongest differentiator is the combination of detailed annotation workflows and AI-assisted dataset operations. Model-assisted segmentation and detection can support labeling, while semantic search uses image embeddings to help explore datasets. Custom dataset schemas and structured annotations add flexibility for projects with specialized labeling requirements. Import and export support includes COCO and the Pixano annotation format, and API access is available through the Python/FastAPI-backed application. This makes Pixano a good fit for teams that need control over their data model and infrastructure rather than a narrowly defined annotation workflow.
Pixano is particularly suitable for open-source teams that value self-hosting, local deployment, and extensibility across 2D and 3D projects. Its main trade-offs are a narrower integration and collaboration story, plus image support centered on JPEG and PNG. Teams seeking extensive third-party integrations or more developed collaborative workflows should consider an alternative. For researchers and developers comfortable with Python, Docker, and custom dataset structures, Pixano offers a broad foundation without a commercial license requirement.
Pixano pros and cons
- Where it wins
- Free and open source with web, desktop, and self-hosted options
- Supports masks, boxes, polygons, keypoints, cuboids, and tracking
- Adds model-assisted labeling, semantic search, schemas, and API access
- Where it doesn't
- Collaboration capabilities are more limited than its annotation depth
- Integrations are limited beyond its dataset and API workflows
- Image format support is centered on JPEG and PNG
Pixano fact sheet, pricing and score →
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