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FiftyOne vs segmenteverygrain

Both stand on image annotation software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

FiftyOne

Paid APILinuxMac+3

Choose FiftyOne if your team needs flexible image annotation, AI-assisted pre-labeling, and connections to model evaluation. Teams comparing paid Team, Growth, or Custom plans should confirm the appropriate seat, compute, and deployment allowances with the provider.

Visit FiftyOne

segmenteverygrain

Paid LinuxMacWindows

Pick segmenteverygrain for free, open-source image labeling with model assistance and flexible dataset exports. It is a strong fit when cross-platform desktop support and API access matter. Look elsewhere if you need a broader media-editing suite or input formats beyond JPEG and PNG.

Visit segmenteverygrain

The facts

FiftyOnesegmenteverygrain
Free planNot publishedNot published
Open sourceNot publishedNot published
Runs onAPI, Linux, Mac, Self-hosted, Web, WindowsLinux, Mac, Windows
Lowest paid planFree or on requestNot published
Plans published3None
MakerNot publishedNot published
Websitevoxel51.comzsylvester.github.io
On image annotation software#24 of 28#28 of 28

FiftyOne: what it does well

  • Supports bounding boxes, polygons, masks, classifications, and polylines.
  • Natural-language prompts can generate pre-labels for human review.
  • Workflows can include review stages, rejection loops, and quality gates.
  • Datasets remain in the customer's environment, according to FiftyOne.
  • Supports anonymization of personally identifiable and protected health information.

What to know first

  • Team lists 8 user seats and 16 guest seats.
  • Team lists 2,800 hours per month of compute.
  • Team includes one production deployment and one dev/staging deployment.

segmenteverygrain: what it does well

  • Free and open-source
  • Runs on Linux, macOS, and Windows
  • Supports masks, polygons, and point prompts
  • Model-assisted labeling is available
  • Exports GeoJSON, CSV, and mask files

What to know first

  • Focused on image annotation rather than general image editing
  • Input formats are limited to JPEG and PNG

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