RexSeek 3B - Detect People and Objects in Images with Prompts - Install Locally
AI Summary
In this video, Fahad Mirza introduces RexSeek, a multimodal large language model designed to detect people and objects in images based on natural language descriptions. Unlike traditional models that focus on single instance detection, RexSeek excels at multi-instance referring tasks, identifying multiple instances that match a description. The tutorial includes steps for local installation, which involves setting up a virtual environment, cloning the GitHub repository, and installing necessary prerequisites like PyTorch. Additionally, the video discusses using the Hugging Face Hub to download the model and explains the three key components of the project: a vision encoder with dual resolution features, a person detector named DooX, and the language model QIN 2.5 from Alibaba. Viewers can see demonstrations of the model’s capabilities, such as detecting specific objects from images and providing detailed annotations. The video is sponsored by EigenBot and includes links to resources for GPU rentals and a support page.