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Roboflow vs Xtreme1

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.

Roboflow

Free plan AndroidAPIiPhone+4

Roboflow brings computer vision dataset work, inference, and deployment into one platform. Its free plan and range of deployment choices may suit teams at different stages, though the listed training and project limits are worth checking.

Visit Roboflow

Xtreme1

Free plan LinuxMacSelf-hosted+2

Choose Xtreme1 for multimodal dataset annotation when open-source licensing, ontology management, and self-hosted deployment matter. Consider the BasicAI private-cloud option if you want that deployment model, but its listed starting price is $6,600/y.

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The facts

RoboflowXtreme1
Free planYesYes
Open sourceNot publishedNot published
Runs onAndroid, API, iPhone, Linux, Mac, Self-hosted, WebLinux, Mac, Self-hosted, Web, Windows
Lowest paid planCore: $39 a monthPrivate-Cloud Deployment: $6,600 a year
Plans published31
MakerNot publishedNot published
Websiteroboflow.comgithub.com
On image annotation software#9 of 28#13 of 28

Roboflow: what it does well

  • Supports five listed annotation types.
  • Exports to JSON, XML, CSV, TXT, and 30+ formats.
  • Hosted inference includes load balancing and burst support.
  • Deployment includes self-hosting and on-premise options.
  • Free plan includes 10 credits per month.

What to know first

  • Training is limited to one model at a time by default.
  • Core lists a limit of 20 projects.
  • Core is $39 a month, billed monthly.

Xtreme1: what it does well

  • Open-source under the Apache 2.0 license.
  • Supports image, LiDAR, and sensor-fusion datasets.
  • Pre-labeling and interactive models assist with labeling.
  • Exports to COCO, JSON, and Xtreme1 formats.
  • Provides API access and model-result visualization.

What to know first

  • Built-in model containers require Linux, NVIDIA CUDA, and a T4 or similar GPU.
  • BasicAI private-cloud deployment starts from $6,600/y.
  • RLHF annotation is identified as a beta feature.

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