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The objective of the Object Detection track of the Open Images Challenge 2019 hosted by Kaggle was to detect multiple objects within an image, and identify the class they belonged to. To achieve this, we have used two different models, YOLOv3 and RetinaNet, implemented on Keras, using Python3.

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The objective of the Object Detection track of the Open Images Challenge 2019 hosted by Kaggle was to detect multiple objects within an image, and identify the class they belonged to. To achieve this, we have used two different models, YOLOv3 and RetinaNet, implemented on Keras, using Python3.

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