YOLO in R
summary
Shows how to run YOLO from R using a GitHub package installed via devtools, instantiate a model with four arguments (task, model, weights, labels) and call an image detection function with model, image file and threshold parameters. Uses Darknet tiny config and pretrained weights, demonstrates car counting (detects three cars, returns bounding boxes and scores), and explains thresholding and selection so low‑score boxes get discarded. Claims two lines of R and no GPU usage.
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