This project focuses on performing object detection using a pretrained YOLOv5s model. Following the detection, the script crops the original image based on the model's outputs, isolating the predicted objects.
Run the main.py script to execute supporting scripts that perform object detection and create two folders:
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runs folder: Contains labeled images with predicted bounding boxes.
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Cropped_images folder: Contains images of the predicted objects cropped from the original image.