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Platform

Open source

A platform for building full lifecycle computer vision workflows, including data annotation, model training, and deployment.

Open-source alternative to

Visit PlatformView on GitHubClaim listing
platform.ultralytics.com
Platform homepage screenshot
GitHub stars
62k
Last 30 days
+—
Last commit
today
Repository age
4 years
Version
v8.4.177
Licence
AGPL-3.0
Self-hosted
Yes

About Platform

Ultralytics Platform provides connected tools for dataset labeling, model training, evaluation, export, and deployment. It supports object detection, instance segmentation, semantic segmentation, image classification, pose estimation, and object tracking using Ultralytics YOLO models.

The platform includes smart annotation features powered by SAM, team review and versioning, and cloud GPU training for YOLO models. It is designed for teams working with large visual datasets.

Key features

  • SAM-powered smart annotation for masks and bounding boxes in one click
  • Full AI task coverage: detection, instance segmentation, semantic segmentation, classification, pose, OBB
  • Universal format support: YOLO, COCO, and more
  • Team review and versioning for collaboration
  • Train YOLO models on 26 cloud GPUs with real-time metrics and experiment comparison
  • AutoTrain with Ask AI to start a baseline and propose the next run

Good fit for

  • Building computer vision models from raw images to production
  • Labeling large visual datasets with speed and consistency
  • Training and deploying YOLO models for object detection and segmentation
Built with
Python tools
Tags
computer vision
yolo
annotation
model training
deployment
vision ai

Platform: questions and answers

What is Platform used for?
Platform is a platform for building full lifecycle computer vision workflows, including data annotation, model training, and deployment. It is a good fit for building computer vision models from raw images to production, labeling large visual datasets with speed and consistency, and training and deploying YOLO models for object detection and segmentation.
Is Platform open source?
Yes. Platform is open source under the AGPL-3.0 licence. Its source code is on GitHub at ultralytics/ultralytics and is written mainly in Python.
Is Platform free?
Yes. Platform is open source, so the software itself is free to use. A managed cloud version is also available.
Can I self-host Platform?
Yes. Platform can be self-hosted on your own server or infrastructure.
What is Platform an alternative to?
Platform is an open-source alternative to Roboflow. Other open-source alternatives to Roboflow include FiftyOne, Label Studio and CVAT.
Is Platform actively maintained?
Yes. The most recent commit to Platform was on 14 October 2026, and the latest release is v8.4.177, published on 13 October 2026. The project has 62k stars on GitHub.

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