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Team Peaky Blinders presents a project on anchor-free object detection using multi-level feature pyramid networks. Object detection is a key task in computer vision, predicting bounding boxes with category labels. The detection pipeline consists of three modules - backbone, neck, and loss heads. The goal is to create a single-stage anchor-free model with accuracy comparable to anchor-based models. Feature pyramid networks address resolution loss in the backbone for improved recall values. Handing it over to Beshali for more details.