How to Count Objects in an Image Using Python
Blog post from Roboflow
James Gallagher's guide explores the use of computer vision to analyze aerial imagery of coastlines for determining the necessity of additional docks by counting objects such as boats, docks, and jet skis. The process involves utilizing the Aerial Maritime model on Roboflow to generate predictions of object instances, which are then counted using a Python function that iterates through a list of predictions. The results, indicating the number of each object type, are stored in a dictionary and can trigger additional actions such as saving records to a CSV file if certain conditions, like overcrowded docks, are met. The guide also provides instructions on setting up the Roboflow model and retrieving predictions via the Roboflow pip package, ensuring users can integrate these insights into broader analyses or decision-making processes for managing coastal infrastructure.
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