Introduction to VLM-R1
VLM-R1 is an open source visual language modeling project developed by Om AI Lab and hosted on GitHub. The project is based on DeepSeek's R1 method, which combines the Qwen2.5-VL model, and significantly improves the stability and generalization of the model in visual understanding tasks through reinforcement learning (R1) and supervised fine-tuning (SFT) techniques.
Key Features
- Refers to Representational Expression of Understanding (REC): The ability to parse natural language instructions to locate specific targets in an image. For example, answering questions such as "Where is the red cup in the picture?".
- Joint image and text processing: Supports simultaneous image and text input to generate accurate analysis results.
- Enhanced Learning Optimization: Enhancing model performance in complex visual tasks by training with the R1 method.
- Open source training code: Complete training scripts and configuration files are provided.
- Dataset Support: Built-in COCO and RefCOCO dataset download and processing capabilities.
- High-performance inference support: Compatible with Flash Attention and other technologies to enhance computing efficiency.
As of February 2025, the project has garnered nearly 2,000 starmarks on GitHub, demonstrating its widespread interest in multimodal AI.
This answer comes from the articleVLM-R1: A Visual Language Model for Localizing Image Targets through Natural LanguageThe
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