In this article we are going to see how we can use object detection models like YOLO along with... Tagged with machinelearning, computervision, ai, python.

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Combining YOLO object detection with CLIP's multimodal embedding improves image retrieval by decomposing images into objects, embedding these objects, and linking them to the parent image. This process enhances retrieval accuracy, especially for images with multiple or background objects. The tutorial includes setting up dependencies, downloading datasets, initiating models, and embedding images for similarity checks.

Using YOLO with CLIP to improve Retrieval

Initiate the YOLO model and the CLIP Model

Crop each image and create a list of YOLOImage Objects