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Head-to-head · Image Annotation Software

Pixano vs FiftyOne

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Pixano #1 in Image Annotation Software 9.0/10 Free plan Free plan✓ 2 of 3 features Visit Pixano
FiftyOne #5 in Image Annotation Software 8.6/10 Open source ✓ 3 of 3 features Visit FiftyOne

Pixano leads on 0 checks, FiftyOne on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorePixano · 9.0/10
  • Free planonly Pixano
  • Most featuresFiftyOne · 3 of 3

Pixano scores higher on our rubric for image annotation software: 9.0 against 8.6 out of 10; our editors rank them #1 and #5.

Pixano is the better fit for open-source teams needing 2D and 3D annotation. FiftyOne is the better fit for ML teams combining annotation and model evaluation.

  • Pixano fits best

    Open-source teams needing 2D and 3D annotation

  • FiftyOne fits best

    ML teams combining annotation and model evaluation

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Side by side

Feature Pixano 9.0/10 Visit ↗ FiftyOne 8.6/10 Visit ↗
At a glance
Editor score 9.0 8.6
Ranking #1 in Image Annotation Software #5 in Image Annotation Software
Best for Open-source teams needing 2D and 3D annotation ML teams combining annotation and model evaluation
Pricing model Free Free
Starting price Free plan Free
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted, Browser extension Cloud, Self-hosted
Platforms Web, Windows, macOS, Linux Web, Windows, macOS, Linux
Support Docs Email, Community, Docs
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Pixano 2/3 · FiftyOne 3/3
Model-assisted labeling ✓ ✓
Team collaboration Not checked yet ✓ (best)
API access ✓ ✓
Specs
Annotation types bounding boxes, polygons, pixel masks, keypoints, cuboids, classification, tracking bounding boxes; polygons; segmentation masks; classifications; polylines; SAM2 click-to-segment instance segmentation
Image formats JPEG, PNG JPEG; PNG; BMP
Dataset export COCO, Pixano annotation format COCO; image directory; image classification directory tree; FiftyOne dataset; Python/CLI export
Our review
Pros
  • 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
  • Supports boxes, polygons, masks, classifications, polylines, and SAM2 annotation
  • Combines annotation, review workflows, dataset curation, and model evaluation
  • Offers APIs, self-hosting, exports, and integrations across data systems
Cons
  • 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
  • Enterprise capabilities are organized around contact-sales plans
  • The broad feature set may exceed the needs of simple annotation projects
  • Governed collaborative deployments require the Enterprise offering
Our verdict

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…

Read the review →

FiftyOne is an image and multimodal data platform from Voxel51 for computer-vision and machine-learning teams. It combines annotation, dataset curation, model evaluation, review workflows, and dataset export in one environment. Annotation…

Read the review →
  1. PixanoImage Annotation Software 9.0Free plan
  2. FiftyOneImage Annotation Software 8.6Open source

Strengths and trade-offs

  • Pixano — 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

  • FiftyOne — where it wins

    • Supports boxes, polygons, masks, classifications, polylines, and SAM2 annotation
    • Combines annotation, review workflows, dataset curation, and model evaluation
    • Offers APIs, self-hosting, exports, and integrations across data systems

    Where it doesn't

    • Enterprise capabilities are organized around contact-sales plans
    • The broad feature set may exceed the needs of simple annotation projects
    • Governed collaborative deployments require the Enterprise offering

More comparisons

All image annotation software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update