At Om AI Lab, we believe the future of AI extends far beyond pure text. We are dedicated to building the "brains" for next-generation systems by focusing on the intersection of Spatial Intelligence, Visual Reasoning, and Embodied Agents.

Our research spans across open-vocabulary perception, reinforced vision-language models, and real-time inference. We aim to bridge the critical gap between high-level logical reasoning and fine-grained visual action—building models that don't just "see" the world, but intuitively understand and interact with it.

Models that think, reason, and understand the visual world at a granular level.

• 🌟 VLM-R1: Solving Visual Understanding with Reinforced VLMs. (Highly active)
• 🔍 VLM-FO1: Bridging the gap between high-level reasoning and fine-grained perception in Vision-Language Models.
• 🔎 ZoomEye: Enhancing Multimodal LLMs with human-like zooming capabilities through tree-based image exploration.

Foundational spatial understanding optimized for edge and on-premise speeds.

• ⚡ OmDet: Real-time, highly accurate, open-vocabulary end-to-end object detection.
• 📐 GroundVLP: Harnessing Zero-shot Visual Grounding from Vision-Language Pre-training.
• 🌍 ImageRAG: Enhancing ultrahigh-resolution remote sensing imagery analysis.

Action-oriented intelligence for physical and virtual environments.

• 🛠️ OmAgent: A comprehensive framework to build multimodal language agents for fast prototyping and production.
• 🎯 OpenTrackVLA: Open and reproducible research for tracking Vision-Language-Action (VLA) models.

Rigorous standards for the open-source multimodal community.

• 📏 OVDEval: A comprehensive evaluation benchmark for Open-Vocabulary Detection.
• 📝 VL-CheckList: Evaluating Vision & Language Pretraining Models with Objects, Attributes, and Relations.