There are multiple scenarios in which you may want to use computer vision to detect small objects or symbols within a given image. Whether it’s detecting company logos on grocery store shelves to manage inventory, detecting informative symbols on documents, or evaluating survey or quiz documents that contain checkmarks or shaded circles, the size ratio of objects of interest to the overall image size is often very small. This presents a common challenge with machine learning (ML) models, because the processes performed by the models on an image can sometimes miss smaller objects when trying to reduce down and …
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