Xtreme1
Xtreme1 is an open-source platform for annotating and curating multimodal training data, with tools for ontology management.
What Xtreme1 is
Xtreme1 is an open-source platform for annotating and curating multimodal training data, with tools for ontology management. It supports images, 3D LiDAR, and 2D/3D sensor-fusion datasets. Listed capabilities include object detection, 3D segmentation, LiDAR-camera fusion, data-quality monitoring, and model-result visualization. Built-in pre-labeling and interactive models support detection, segmentation, and classification. The configurable Ontology Center organizes classes with hierarchies and attributes. Image workflows link to YOLOR and RITM; LiDAR-camera fusion workflows link to OpenPCDet and AB3DMOT. RLHF annotation for large language models is listed as a beta feature. Xtreme1 is licensed under Apache 2.0 and identified as an LF AI & Data Foundation project. It can be installed with Docker Compose and run on Linux, Windows, or MacOS. Listed requirements are AMD64 or ARM64 CPUs, at least 2GB RAM, and 10GB or more of free disk space. Built-in model containers require a Linux server with NVIDIA CUDA and a T4 or similar GPU. The README identifies BasicAI as the cloud version.
Good
- Open-source software under Apache 2.0
- Supports images, LiDAR, and sensor-fusion data
- Built-in pre-labeling supports detection and classification
- Ontology Center supports class hierarchies and attributes
- Exports to COCO, JSON, and Xtreme1 formats
Watch out
- Built-in model containers require Linux and NVIDIA CUDA
- RLHF annotation is a beta feature
- Requires at least 2GB RAM and 10GB free disk space
Who it suits
Xtreme1 may suit teams preparing image, LiDAR, or sensor-fusion datasets for model training. Users considering its built-in model containers should account for the listed Linux and GPU requirements.
Verdict
Xtreme1 offers annotation and ontology tools across image, LiDAR, and sensor-fusion workflows. Its deployment requirements and the GPU needs for built-in model containers are important to check before setup.
Plans and prices
From Xtreme1's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Private-Cloud Deployment | $6,600 a year | Customizable payment cycle, seats, storage and model calls · On-premise deployment options · Starting from $6,600/y |
The facts
Each one read from Xtreme1's own pages, with the date it was checked.
What it does
- Annotation features
- Its listed capabilities include 2D/3D object detection, 3D segmentation, LiDAR-camera fusion, data quality monitoring and model-result visualization.checked 9 Oct 2026
- Cloud version
- The documentation identifies BasicAI as the cloud version and the GitHub README links to a free enterprise demo request.checked 9 Oct 2026
- Data types
- The project says it supports labeling images, 3D LiDAR and 2D/3D sensor-fusion datasets.checked 9 Oct 2026
- Deployment
- The open-source project is installed with Docker Compose and can be run on Linux, Windows or MacOS.checked 9 Oct 2026
- Integrations
- The feature page links image annotation with YOLOR and RITM, and LiDAR-camera fusion workflows with OpenPCDet and AB3DMOT.checked 9 Oct 2026
- License
- The software is licensed under Apache 2.0, and the README identifies Xtreme1 as an LF AI & Data Foundation project.checked 9 Oct 2026
- LLM support
- The GitHub README lists RLHF annotation for large language models as a beta feature.checked 9 Oct 2026
- Ontology
- The configurable Ontology Center supports classes with hierarchies and attributes for model training.checked 9 Oct 2026
- Pre-labeling
- Built-in pre-labeling and interactive models support 2D/3D object detection, segmentation and classification.checked 9 Oct 2026
- Pricing limits
- The BasicAI platform pricing page lists private-cloud deployment starting from $6,600/y, with seats, storage and model calls customizable.checked 9 Oct 2026
- Requirements
- The README lists AMD64 or ARM64 CPUs, at least 2GB RAM and 10GB or more free disk space; built-in model containers require a Linux server with NVIDIA CUDA and a T4 or similar GPU.checked 9 Oct 2026
- Security reporting
- The project security policy says it follows the Linux Foundation process for reporting vulnerabilities to LF projects and foundations.checked 9 Oct 2026
- What it does
- Xtreme1 is an open-source platform for multimodal training data that supports data annotation, curation and ontology management.checked 9 Oct 2026
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