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hi everyone we are team peaky blinders and im shirey and this is our project on anchor free object detection using multi-level feature pyramid networks object detection is fundamental yet a challenging task in computer vision which requires the algorithm to predict bounding boxes with a category label for each instance of interest in the image to tell what were trying to achieve the detection pipeline makes use of at least three major modules the backbone the neck and the loss heads in this project we aim to combine the best of these modules to implement a single stage anchor free model that is able to make detections with accuracy at par with anchor based implementations we go on in depth with every module in the process of the presentation now ill hand it over to beshali anchor free detectors suffer from poor recall values as we go deeper into the backbone the spatial features become smaller and we tend to lose resolution feature pyramid networks is used to eliminate this issue t
