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Xtreme1

Free#18 of 28 in Image Annotation Software

Xtreme1: A capable open-source choice for teams labeling 2D images, LiDAR, and camera-fusion data. Ranked #18 of 28 in Image Annotation Software by our editors (7.3/10); pricing: Open source; best for open-source teams handling 2D and 3D data.

7.3/10Editor score
Xtreme17.3 Visit Xtreme1

At a glance

  • Editor score
    7.3 / 10
  • Pricing
    Open source
  • Best for
    Open-source teams handling 2D and 3D data
  • Paid from
    Free
  • Model-assisted labeling
    Yes
  • Facts checked
    20 Sep 2026
Xtreme1 screenshot
  • Where it wins

    • Supports 2D image, 3D LiDAR, and camera-fusion annotation
    • AI-assisted pre-labeling and interactive segmentation support
    • COCO import/export plus a bearer-token dataset API
  • Where it doesn't

    • Local deployment uses Docker Compose and requires setup
    • Image formats are limited to JPG and PNG
    • The listed integration set is focused on four model projects

Our verdict on Xtreme1

Xtreme1 is an open-source platform for annotating, curating, and managing multimodal training data. It is aimed at machine-learning and computer-vision teams working on object detection, segmentation, classification, and related dataset-development tasks. Annotation options include bounding boxes, polygons, polylines, classification, configurable ontology classes, and attributes. It also covers 3D LiDAR and 2D/3D camera-fusion datasets, making it a fit for teams whose work extends beyond standard image labeling.

Its feature set is broad for an open-source annotation platform. AI-assisted pre-labeling and interactive segmentation models can support model-assisted workflows, while data management, quality monitoring, labeling-error correction, and model-result visualization address later stages of dataset development. Teams can upload datasets from local drives or URLs, and COCO import and export are supported alongside JSON and the Xtreme1 annotation format. The bearer-token API covers dataset management, annotation, export, and model prediction, with integrations listed for YOLOR, RITM, OpenPCDet, and AB3DMOT.

Deployment is oriented toward teams prepared to manage the platform locally: the product can be deployed with Docker Compose on Linux, Windows, or macOS, and self-hosted use is supported alongside web access and an API. That makes Xtreme1 a practical choice for organizations prioritizing open-source control and multimodal annotation in their own environments. It is less suited to buyers seeking a narrowly focused image-only tool with a simpler hosted rollout, or teams that need a broader named integration ecosystem than the listed model projects provide.

Your product? Our editors can test Xtreme1 in depth and publish a review, labelled as paid · from $149/mo →

Xtreme1 pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

Xtreme1 fact sheet

Free planNot verified
Paid fromFree
Annotation typesbounding box, polygon, polyline, classification
Image formatsJPG, PNG
Model-assisted labelingYes
Dataset exportCOCO, JSON, Xtreme1 annotation format
Team collaborationNot verified
API accessYes
DeploymentSelf-hosted, Desktop
PlatformsWeb, Windows, macOS, Linux
SupportCommunity, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations4 integrations: YOLOR, RITM, OpenPCDet, AB3DMOT
PricingOpen source
Websitegithub.com
Facts checked20 Sep 2026

Xtreme1 integrations

Xtreme1 lists 4 integrations on its own site.

  • YOLOR
  • RITM
  • OpenPCDet
  • AB3DMOT

Alternatives to Xtreme1

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Featured on iTechGuides

Featured on iTechGuides — Xtreme1 7.3/10

Xtreme1 is listed in our Image Annotation Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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