xtreme1-io/xtreme1

Health v2 · maintenance only

Adoption not part of the score

1345 stars · 223 forks observed · 2026-10-04

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Xtreme1 is an open-source, self-hosted data labeling and annotation platform for multimodal training data, supporting images, 3D LiDAR point clouds, LiDAR-camera fusion, and LLM RLHF workflows. It includes AI-assisted pre-labeling, an ontology center, data curation, and model result visualization, deployed via Docker Compose.

Use cases

• annotate 3d lidar point clouds for object detection
• label images with bounding boxes and segmentation
• annotate lidar-camera fusion datasets
• run rlhf data labeling for llm training
• manage ontology classes and attributes for training data
• find and fix labeling errors in datasets
• pre-label data with ai-assisted models

When to choose

• you need an open-source, self-hosted alternative to commercial annotation platforms
• your datasets combine 2D images and 3D LiDAR point clouds
• you want AI-assisted pre-labeling to speed up annotation
• you need RLHF annotation workflows for LLM training

When to avoid

• you only need simple text or audio annotation without 3D support
• you want a fully managed cloud service without self-hosting
• you need a lightweight single-purpose labeling script rather than a full platform

Facets

application · maturity active

image-processing computer-vision machine-learning data-science nlp computer-vision machine-learning data-science artificial-intelligence large-language-models self-hosted cross-platform data-labeling annotation-tool point-cloud lidar 3d-annotation rlhf multimodal sensor-fusion ontology-management pre-labeling docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="xtreme1-io/xtreme1")