Qwen 2.5 VL models excel at spatial understanding tasks including zero-shot object detection, visual grounding, and relationship analysis in images. The tutorial demonstrates how to set up the 3B parameter model, implement inference functions, and parse JSON responses containing bounding box coordinates and labels. Through practical examples, it shows the model's ability to detect vehicles, locate specific objects like cupcakes with chocolate chips, and understand contextual relationships between objects in scenes.

17m read timeFrom pyimagesearch.com
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Object Detection and Visual Grounding with Qwen 2.5Introduction and Types of Spatial UnderstandingHow Spatial Understanding Works in Qwen 2.5 VL ModelsHands-on with Qwen 2.5 VL for Spatial UnderstandingSummary
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